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NVIDIA is building the world's most advanced AI computing platforms, powering breakthroughs in generative AI, large language models, and scientific discovery. Our accelerated computing technologies enable researchers, engineers, and enterprises to push the boundaries of what is possible with artificial intelligence. We are seeking an AI Networking Architect to join the Networking Research Group. This role bridges the gap between emerging AI workloads and the data center infrastructure that powers them, working at the intersection of AI applications, distributed systems, networking hardware, and software architecture. You will join a focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your insights will directly shape NVIDIA products across the full stack — from applications and software libraries to hardware architecture and physical design. What you'll be doing: • Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations. • Analyze new AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements. • Build simulation and hardware platforms, run real AI workloads on them, and develop analytical tools to evaluate trade-offs across compute, memory, storage, and network behavior. • Translate research insights and workload behavior into actionable software, xhardware, and networking architecture requirements. • Partner with architecture, software, and product teams to influence future NVIDIA networking and AI infrastructure roadmaps. • Drive architectural innovation by applying deep workload analysis to production machine learning frameworks. What we need to see: • B.Sc. or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience. • 5+ years of relevant industry or research experience. This is not an entry-level position; coursework and personal projects do not substitute for production or research experience at scale. • Hands-on experience running and analyzing AI workloads on multi-node systems — distributed training or large-scale inference — including measuring where time and resources are actually spent. • Demonstrated performance analysis work: building analytical or simulation models of real systems, validating them against measurement, and identifying bottlenecks that led to design or deployment changes. • Strong systems-level thinking across the full AI stack, from model and framework behavior down through compute, memory, storage, and network. • Track record of translating research findings and workload analysis into concrete software and hardware specifications that engineering teams acted on. • Strong programming skills in Python and C/C++, applied to performance modeling, data analysis, and prototyping. Ways to Stand Out from the crowd: • Deep understanding of data centers, network topologies, and communication protocols. • Familiarity with GPU clusters, collective communication, storage systems, and AI networking bottlenecks. • Experience with distributed training, distributed inference, or large-scale AI serving systems, including the performance metrics and deployment strategies that govern them. • Experience in agentic programming and AI tooling. • Track record of turning academic research into concrete software, hardware, or architecture requirements, and of leading complex multidisciplinary projects with measurable production impact. NVIDIA is home to some of the most innovative and dedicated professionals in the industry. We are committed to fostering a diverse work environment and are proud to be an equal-opportunity employer.

NVIDIA is seeking a highly skilled and versatile Performance Research and Analysis Manager to join our Performance Group. This role will drive end-to-end performance strategy and execution for next-generation NVIDIA data centers and solutions based on GPU systems, NIC, Switch, DPU and Networking technologies. The ideal candidate will oversee, evaluating, and optimizing end-to-end AI GPU cluster-level performance for scaling out large scale distributed training and inference jobs communication. The role will focus heavily on RDMA, Networking Protocols, Collective Communication, Congestion Control, and Load Balancing algorithms. Secondarily, you will lead NVIDIA DPUs and Storage technologies for N-S use cases to support AI Inference jobs. Third, you will drive our Performance Dashboards and Observability for cluster-level performance analysis from a stream line telemetry across NICs, Switches, GPUs, and NVlink. What you'll be doing: • Drive end-to-end performance strategy, characterization, test plans, and optimization for next-generation NVIDIA AI GPU clusters, focusing on large-scale distributed training and inference workloads. • Deeply evaluate and optimize NVIDIA Networking core technologies performance, including RDMA/PRDMA, networking protocols, collective communication (NCCL), congestion control, and load-balancing algorithms. • Work on performance research and analysis of NVIDIA DPUs and storage technologies in North-South (N-S) use cases and deployment scenarios to maximize performance and efficiency for AI inference jobs. • Drive the strategy for performance observability and dashboards across next-generation NVIDIA data center solutions and supercomputers by leveraging scalable, streamlined telemetry pipelines to build performance dashboards and automated analytics based on real-time performance metrics across NICs, Switches, GPUs, and NVLink boundaries. • Perform deep root-cause analysis (RCA) on complex multi-node performance bottlenecks, driving actionable mitigation plans across hardware, firmware, and software teams. What we need to see: • B.Sc. or M.Sc. in Computer Science, Computer Engineering, Software Engineering, or equivalent technical experience. • 8+ overall years of experience and deep expertise in High Performance Networking, RDMA, and Systems level performance. • 3+ years of experience as an engineering team manager leading technical performance or R&D teams. • Hands-on experience analyzing and optimizing collective communication (e.g., NCCL, MPI) and network traffic patterns for large-scale distributed AI workloads (LLM training and inference). • Hands-on experience designing, deploying, and customizing Grafana dashboards for cluster monitoring, alerting, and data visualization. • Exceptional cross-team leadership, analytical thinking, and communication skills to drive alignment across hardware, software, and architecture groups. Ways to stand out from the crowd: • Proven track record of optimizing NCCL, RDMA/RoCEv2, and custom collective algorithms specifically tailored for multi-thousand GPU deployments running LLMs or Mixture-of-Experts (MoE) architectures. • Deep experience tuning advanced network traffic mechanisms such as adaptive routing, PFC/ECN congestion control, and packet-spraying technologies. • Experience building autonomous performance-driven tools, AI-assisted root cause analysis agents, or automated regression frameworks for continuous cluster-level performance evaluation. • Hands-on experience developing custom Grafana plugins, complex dashboard panels, or integrated alert management workflows using PromQL/LogQL for hyperscale or HPC environments. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #LI-Hybrid

As a Software Solution Architect, NVIS at NVIDIA, you will lead the transformation of AI infrastructure. Our NVIS team focuses on developing the next generation of NVIS Central, an agentic software platform with tools, services, and AI agents that automate, simplify, and speed up the work of our delivery organization. This role offers an outstanding chance to create and build LLM-powered agents that improve execution visibility, cut down manual tasks, and standardize workflows. These efforts allow NVIS to grow quickly and with high quality. Join us to bring up, validate, optimize, and upgrade large-scale AI Factory infrastructure for some of the world’s most advanced accelerated computing environments! What you'll be doing: • Compose, build, and productionize agentic AI solutions, tools, and applications for the NVIS delivery organization. • Develop LLM-based agents, skills, tool-calling workflows, orchestration logic, backend services, APIs, data pipelines, and automation features as part of NVIS Central. • Translate field, delivery, operations, and product needs into clear technical builds, agent workflows, and working software. • Develop agents that can reason across project data, knowledge bases, operational systems, logs, reports, and delivery workflows. • Build workflows that help NVIS teams identify risks, summarize project status, automate repetitive tasks, improve readiness visibility, and simplify handoffs. • Work with timely engineering, retrieval-augmented generation, context management, agent memory, function calling, evaluations, and guardrails to build reliable AI systems. • Integrate LLMs and agents with internal systems, project data sources, knowledge repositories, reporting tools, and operational workflows. • Collaborate closely with software developers, architects, product managers, DevOps/SRE, and NVIS field teams to successfully implement reliable and scalable solutions. • Contribute to engineering guidelines, including code quality, testing, CI/CD, observability, documentation, security, and production support. What we need to see: • B.Sc. degree or equivalent experience in Computer Science, Computer Engineering, or a related technical field. • 2+ years of hands-on software development experience building production applications, platforms, automation tools, or AI-based systems. • Strong programming experience with Python and modern backend development. • Hands-on experience working with LLMs, agentic workflows, timely composition, tool/function calling, RAG, and AI application development. • Experience crafting and implementing RESTful APIs, data services, workflow automation, and integrations with enterprise systems. • Experience building reliable software around non-deterministic AI systems, including testing, evaluation, monitoring, and failure handling. • Experience with Docker, Kubernetes, CI/CD, Git, observability, and cloud-native development practices. • Background with SQL and NoSQL databases, data modeling, querying, indexing, and data integration. • Excellent problem-solving skills, ownership attitude, and ability to operate in a fast paced, cross-functional environment. Ways to stand out from the crowd: • Experience building agent platforms, copilots, multi-agent systems, tool-calling workflows, evaluation frameworks, or MCP-style integrations. • Deep understanding of LLM application patterns such as context engineering, retrieval quality, timely/version management, agent planning, human-in-the-loop workflows, and AI safety guardrails. • Experience with AI infrastructure, HPC clusters, NVIDIA DGX systems, SuperPOD, Spectrum-X, Ethernet, InfiniBand, Kubernetes, or SLURM. • Experience in automating workflows related to field, delivery, operations, or professional services. • Strong Linux, networking, security, SRE, or distributed systems background.

NVIDIA is seeking best-in-class ASIC Design Engineers to design and implement the world’s leading CPU's and SoC's. This position offers you the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to pursue, that only we can take on, and that matter to the world. We have crafted a team of excellent people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. NVIDIA is building a new group in Israel, this group will deliver security engines and risc-V processor IPs to all of NVIDIA product lines working with all NVIDIA groups around the world. We are looking for an Architect with a security experience to help lead the Arch work on security engines and secure boot flows. You will work closely with NVIDIA security architects, design engineers, verification engineers, and SW engineers to accomplish your tasks. What you will be doing: • Participate in Architecture development and document specifications. • Work with RTL and the verification team to ensure that the design meets the spec. • Help deliver a design that meets the high security standards of NVIDIA and our customers. What we need to see: • A BSc and/or MSc from a major university in electrical engineering or computer engineering • At least 10 years of relevant experience in ASIC design, uArch and Arch in the areas of crypto engines and root of trust. • A good system level understanding and experience working with multiple groups including ASIC design, FW and SW. • Good interpersonal skills. And team player With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We employ some of the most forward-thinking and hardworking people in the world. Are you passionate about becoming a part of an outstanding team supporting the latest technology? If so, we want to hear from you. NVIDIA is an equal-opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

NVIDIA is seeking a senior, hands-on End-to-End Architect to define and drive system architecture for next-generation AI and accelerated computing platforms. Join our E2E Architecture group, where we build large-scale solutions that bring together high-capacity communication systems, software, physical devices, and infrastructure. In this role, you will own system-level architecture across multiple technologies and organizational boundaries. You will interpret product and business requirements to develop complete architectural solutions, identify gaps across system components, and drive technical alignment from early definition through productization and deployment. What You’ll Be Doing: • Define end-to-end system architectures for Spectrum-X solutions, covering networking, software, hardware, infrastructure, and application integration. • Lead architecture tasks for the entire solution lifecycle, from requirements and system definition through implementation, validation, deployment, and optimization. • Collaborate with systems, software, model, networking, platform, and application teams to deliver integrated, high-performance solutions. • Evaluate and integrate new software and hardware technologies relevant to core Spectrum-X capabilities, including load balancing, telemetry, congestion control and more. • Translate product and business requirements into system architecture, component requirements, interfaces, and technical execution plans. • Identify architectural gaps, dependencies, tradeoffs, and performance bottlenecks across the end-to-end system. • Work closely with productization teams, including test, validation, deployment, and support, to ensure the complete solution is reliable, scalable, and ready for production. • Author architecture documents, design specifications, technical requirements, and technical publications. • Provide technical leadership and guidance to engineering teams throughout implementation and integration. What We Need to See: • Bachelor’s, Master’s, or PhD degree in Computer Science, Electrical Engineering, or equivalent experience. • 5+ years of experience in software architecture, systems engineering, or the development of large-scale, performance-critical systems. • Strong networking background, including a deep understanding of high-performance networks, distributed systems, and networked applications. • Deep understanding of deep learning systems, GPU acceleration, and AI model execution flows • Proven experience defining and delivering end-to-end architectures that span software, hardware, networking, and infrastructure. • Experience leading complex technical initiatives in a large-scale, multi-functional environment. • Ability to translate broad product goals into clear architectural requirements, interfaces, tradeoffs, and execution plans. • Excellent communication and technical leadership skills, with the ability to influence decisions across teams with multifaceted strengths and organizational boundaries. Ways to Stand Out from the Crowd: • Experience architecting high-performance networking solutions for AI, cloud, data center, or distributed computing environments. • Familiarity with NVIDIA networking technologies and the Spectrum-X platform. • Background in AI training or inference infrastructure, GPU-accelerated systems, or large-scale compute clusters. • Experience with AI Accelerators and distributed communication patterns, congestion control and/or load balancing. • Proven success identifying and resolving efficiency constraints across complex, multi-component systems. NVIDIA is widely considered one of the most desirable places to work in technology. We are passionate about what we do and committed to a culture of technical perfection, innovation, and teamwork. If you want to define comprehensive system builds that combine advanced networking, accelerated computing, and large-scale software systems, this role is for you.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by excellent technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Join our team and discover how you can build a lasting impact on the world. NVIDIA is seeking a sharp, innovative, and hands-on Architect to help shape the future of LLM inference at scale. Join our dynamic E2E Architecture group, where we build ground breaking systems powering the next generation of generative AI workloads. In this role, you will work across software and hardware domains to design and optimize inference infrastructure for large language models running on some of the most sophisticated GPU clusters in the world. You’ll help define how AI models are deployed and scaled in production, driving decisions on everything from memory orchestration and compute scheduling to inter-node communication and system-level optimizations. This is an opportunity to work with top engineers, researchers, and partners across NVIDIA and leave a mark on the way generative AI reaches real-world applications. What You’ll Be Doing: • Design and evolve scalable architectures for multi-node LLM inference across GPU clusters. • Develop infrastructure to optimize latency, throughput, and cost-efficiency of serving large models in production. • Collaborate with model, systems, compiler, and networking teams to ensure complete, high-performance solutions. • Prototype novel approaches to KV cache handling, tensor/pipeline parallel execution, and dynamic batching. • Evaluate and integrate new software and hardware technologies relevant to Core Spectrum-X technologies, such as load balancing, telemetry, congestion control, vertical application integration. • Work closely with internal teams and external partners to translate high-level architecture into reliable, high-performance systems. • Author design documents, internal specs, and technical blog posts and contribute to open-source efforts when appropriate. What We Need to See: • Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, or equivalent experience. • 8+ years of experience building large-scale distributed systems or performance-critical software. • Deep understanding of deep learning systems, GPU acceleration, and AI model execution flows and/or high performance networking. • Proven software engineering skills in C++ and/or Python, preferably demonstrate strong familiarity with CUDA or similar platforms. • Strong system-level thinking across memory, networking, scheduling, and compute orchestration. • Excellent communication skills and ability to collaborate across diverse technical domains. Ways to Stand Out from the Crowd: • Experience working on LLM - training or inference pipelines, transformer model optimization, or model-parallel deployments. • Proven success in profiling and optimizing performance bottlenecks across the LLM training or inference stack. • AI Accelerators and distributed communication patterns, congestion control and/or load balancing. • Shown optimization process for complex systems, deployed at scale to make impact. • Proven experience successfully driving complex organizational processes from planning through implementation. NVIDIA is widely considered one of the most desirable places to work in tech – we are passionate about what we do and are committed to fostering a culture of perfection, innovation, and collaboration. If you’re excited to help define how the world runs AI at scale, this role is for you. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. While planning your future, explore the benefits available to you and your family at www.nvidiabenefits.com/

We are seeking a highly motivated Chip Architect to join our team and help shape the future of next-generation high-performance networking. NVIDIA’s next-generation Ethernet and NVL switches are at the core of the world’s most advanced compute clusters — from powering AI factories to scaling NVL-based GPU systems used in training/inferencing of the largest foundation models. As a Chip Architect at NVIDIA, you will play a central role in defining the architecture of these high-bandwidth, low-latency switches. Your work will directly impact how AI supercomputers, hyperscale data centers, and cutting-edge research platforms communicate at scale. You will join a team with a strong track record of first-in-the-world products and help deliver the next leap in networking technology. What You'll Be Doing: • Define the end-to-end architecture and full feature set of next-generation NVL and Ethernet switch chips across all stages of the product lifecycle — from early concept to deployment. • Develop architectural specifications and design guidelines, and drive trade-off analyses across multiple architecture options. • Lead research and exploration of future architectures, including innovation that contributes to patent development. • Collaborate closely with cross-functional teams — including other architecture groups, logic design, firmware, system software, and research — to ensure successful execution and integration. • Act as a technical leader and subject matter expert, mentoring others and driving architectural excellence across the organization. ​ ​What We Need to See: • BSc or MSc in Electrical Engineering, Computer Engineering, or related field • 7+ years of proven experience in chip architecture, digital design, or design verification • Solid understanding of digital ASIC design and strong familiarity with the full chip development cycle • System-level thinking — ability to reason across hardware/software boundaries and understand how switch architecture impacts end-to-end performance • Comfortable navigating between RTL, models, and system software to drive architectural clarity ​​Ways to Stand Out from the Crowd: • Deep knowledge of networking and compute systems • Hands-on experience in system architecture across domains such as networking, CPUs, GPUs, or memory subsystems • Background in in-network computing or data-path acceleration ​ NVIDIA has some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you. It’s not just technology though! It is our people, some of the brightest in the world, and our company diverse culture make NVIDIA one of the most fun, innovative and dynamic places to work in the world! At the center of NVIDIA's culture are our core values like innovation, excellence and determination and team, that guide us to be the best we can be.

NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. With an outstanding legacy of innovation, driven by phenomenal technology, and extraordinary people, NVIDIA is looking for a strong technical senior architect to join us in shaping the future. Senior Architects are innovators who can translate business needs into workable technology solutions. Their expertise is deep and broad. They are hands on, producing both detailed technical work and high-level architectural designs. As a Senior architect in the AI Networking Research team, you will explore technological challenges on accelerate networking and building AI data centers. Research new transport functions and semantics for optimizing AI workloads, AI systems communication and accelerations and much more. You will also be leading architectural and development efforts across numerous technological fields, related to the modern AI data center, such as distributed AI and deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more. What you’ll be doing: • Enhance NVIDIA's GPU Networking offerings for accelerating AI workloads, such as NVIDIA Dynamo, NVIDIA NIXL and NVIDIA UCX, tailored to the unique requirements of AI workloads. • Co-design hardware features (e.g., in GPUs, DPUs, or interconnects) that accelerate data movement and enable new capabilities for inference and model serving. • Identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value. • Lead architecture and design of new technologies and innovations such as runtime systems, communication libraries, AI-specific technologies. • Lead proof-of-concept development to evaluate and drive such technologies. What we need to see: • Hold a M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience). • 5+ years of industry experience (or equivalent) in system architecture, AI systems architecture, scaling of AI, Parallelism of AI frameworks, or deep learning training workloads. • Experienced in algorithm design, system programming, computer architecture and operating systems. • Experienced in virtualization, networking and storage. • Deep understanding of performance profiling and optimization techniques, together with defining and using hardware features. • Strong programming and software development skills. • Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment. Ways to stand out from the crowd: • Shown research track record. • Have experience and passion for system architecture, CPU/GPU/memory/storage/networking. • Stellar communication skills. • Knowledge in Deep Learning frameworks and AI communication libraries (NCCL, UCX, MPI and equivalents). • Deep understanding of Inference and Training workloads and optimizations, like Prefill/Decode, data parallelism, Tensor parallelism, FDSP and others. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA networking is a world-leader in building the most powerful supercomputers in the world which drive the AI and HPC industry. These rely on high performant network ASICs which connect GPUs at scale for efficient data transfer and compute. We are looking for a hardware performance modeling architect to join our team and build a network simulator used for the design, optimization and exploration of our future networking chips. The role is cross-disciplinary, collaborating with hardware and software teams across the wider NVIDIA. You will solve complex problems, develop innovative solutions and be instrumental in determining the architecture of our next generation networking solutions. What you'll be doing: • Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related industry standards & customers on deploying your tech. • Collaborate with teams across teams (physical design, logic design, system software, firmware, applications) • Develop cycle-accurate simulation components to evaluate and analyze micro-architecture and architectural options. • Explore innovative ideas to improve and optimize our chip systems performance. • Serve as a focal point within the organization and distribute the knowledge that you acquire. What we need to see: • BSc/MSc in Electrical Engineering, Computer Science from a known university. • Experience in developing simulation models. • 4+ years of experience in a relevant role as chip architecture or system integration • Knowledge and understanding of computing and networking systems. • Strong debug skills. • A can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn complex concepts in a fast pace environment. • Utmost passion for attention to details in design and a high focus on design quality. Ways to stand out from the crowd: • Experience and love for system architecture, CPU/GPU/Memory/Storage/Networking. • NVIDIA is widely considered to be one of the tech world’s most desirable employers. • Master's degree in Electrical Engineering, Computer Science or related technical field. • 5+ years of relevant practical experience. • Experience with network simulation tools (omnet, ns3, sst, gem5) NVIDIA is widely considered to be one of the tech world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you.

We are now looking for a Senior Chip Design Engineer to join our Switch Silicon team. As a Chip Design Engineer at NVIDIA's Networking business unit, you'll join a group of passionate engineers to design and implement the next generation state-of-the-art Switch Silicon chips. In this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! What You'll Be Doing: • Work in a design/verification team which develops core units within the Switch silicon. • Micro-architecture of rtl verification environments planning for units and modules. • Design RTL of units/blocks according to Arch. specifications under challenging constraints with high orientation to power, area, and performance. • RTL synthesis, timing, supporting verification, and silicon post TO activities. • Work closely with multiple teams within organizations such as Architecture, u-arch, Full chip Micro-Architecture, BE, and FW. What We Need To See: • Electrical Engineering B.Sc. or Computer Engineering B.Sc. graduate with high scores or equivalent experience. • 5+ years of experience in RTL design. • Knowledge in network protocols and/or HPC and distributed calculations - advantage. • A team player with good communication and interpersonal skills. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our Switch Silicon design team and help us build the next chip in this exciting and quickly growing field.

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for over 30 years. It's a unique legacy of innovation fueled by great technology—and dynamic people. Today, we're tapping into the unlimited potential of AI to define the next era of computing—an era in which our GPUs act as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. NVIDIANs immerse themselves in a diverse, supportive environment that encourages everyone to do their best work. Join the team and see how you can make a lasting impact on the world. Slurm is a critical workload manager for many of the world's most demanding AI and high-performance computing environments. We are looking for a Technical Support Engineer dedicated to supporting Slurm for NVIDIA's customers. You will join a dedicated team of Slurm subject-matter guides, owning sophisticated support cases and helping customers run reliable, efficient, and highly scalable clusters. This role requires extensive production experience with Slurm and the ability to diagnose issues across the scheduler and the surrounding Linux, networking, storage, authentication, database, and GPU infrastructure. What you'll be doing: • Own Slurm support cases from initial investigation through resolution for customers running production AI and HPC clusters. • Diagnose complex problems involving slurmctld, slurmd, slurmdbd, job scheduling, node management, resource allocation, accounting, authentication, and high availability. • Solve Slurm configuration and policy features, including partitions, reservations, priorities, fair-share, quality of service, backfill, preemption, GRES/TRES, cgroups, and job constraints. • Investigate performance, reliability, and scalability issues using logs, diagnostic data, configuration analysis, reproductions, and source-level debugging when required. • Isolate problems across Slurm and its surrounding dependencies, including Linux, MUNGE, databases, networking, parallel storage, containers, GPUs, and cluster-management systems. • Advise customers on Slurm configuration, upgrades, operational practices, managing system resources, and safe recovery from production incidents. • collaborate with engineering teams by producing clear technical descriptions, reproducible test cases, and well-supported defect reports. • Develop guides, knowledge-base articles, diagnostic tools, and internal training that strengthen Slurm expertise across the support organization. What we need to see: • BS.c degree in Computer Science, Engineering, or a related field, or equivalent experience. • 5+ years of hands-on experience administering and supporting Slurm in production HPC or AI environments including business-critical outage incidents. • Expert-level understanding of Slurm architecture, daemons, configuration, scheduling behavior, accounting, resource management, and failure modes. • Capacity to identify sophisticated Slurm incidents independently and guide them to a technically sound resolution. • In-depth Linux system-administration and solve experience, including systemd, cgroups, authentication, networking, and database-backed services. • Experience operating Slurm across multi-user clusters with complex scheduling policies and heterogeneous compute resources. • Strong analytical and research skills, showing proficiency in distinguishing Slurm defects from configuration, integration, infrastructure, and workload problems. • Excellent written and verbal communication skills, including the ability to turn detailed technical findings into clear explanations and actionable recommendations. Ways to stand out from the crowd: • Experience supporting large-scale Slurm environments containing thousands of nodes or GPUs. • Experience diagnosing scheduler performance, job-throughput, controller-load, and database-scaling issues. • Familiarity with Slurm source code, plugins, SPANK, Lua job-submit plugins, or upstream issue investigation. • Experience with containers and HPC integration technologies such as Pyxis, Enroot, Apptainer, or Singularity. • Previous experience integrating Slurm with NVIDIA Base Command Manager, Bright Cluster Manager, or another cluster-management platform.

NVIDIA is looking for a passionate and talented SW & System Architect to join our SW Architecture group. The position includes researching new technologies with focus on architecture definition of groundbreaking technologies in different domains - networking, security, virtualization and orchestration. NVIDIA Architecture group consists of world-class architects responsible for designing the next generation state-of-the-art architecture for our DPUs & NICs technologies. You will play a key role defining the future of cloud solution stack, from HW to Application level, including orchestration, provisioning, network programmability and SDN. You will be working with various teams around the world including SW architects, R&D, product, solution architects and external customers. This position offers a unique and exceptional opportunity to have real impact in a dynamic, technology-focused company shaping the future of data-centers technologies. What you will be doing: • Lead architecture for cloud-networking including orchestration, provisioning and security solutions • Design state-of-the-art system architecture for DPUs & NICs technologies • Build end-to-end solutions from application level to HW • Responsible for writing effective, clear and reliable architecture specification • Evaluate new technologies and innovate & rapidly develop POC prototypes that can then be developed into full-fledged products/solutions • Work closely with different NVIDIA teams around the world including sw & hw architects, R&D, product, solution architects, application and field engineers and more • Work with high profile customers on advanced and future technologies and solutions What we need to see: • B.Sc/M.Sc/Phd degree in Computer Science, Computer Engineering, or Electrical Engineering • 2+ years of experience as SW Architect/System Architect • 2+ years of experience as SW developer • Deep knowledge and experience with C, Python • Hands on Linux development, Docker and Containers based technologies • Experience with cloud and Data Center networking • Wide knowledge and understanding of networking protocols and common network topologies • Strong design, coding, analytical, debugging and problem-solving skills • Ability to work concurrently with multiple groups locally and abroad in the organization • Excellent communication, documentation and presentation skills Ways to stand out from a crowd: • Development experience with networking/security devices – NICs/DPUs/Switches/Routers /Firewalls etc. • Good understanding of OSs and drivers • Experience with DPDK, OVS, OVN • Experience with Kubernetes components & subsystems, CRDs, Operators, system plugins and CNI plugin development (Calico, Flannel) • Experience with OpenStack/OpenShift and/or Cloud APIs With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and. due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is spearheading the AI revolution and the creation of state-of-the-art accelerated compute platforms for global utilization. Our Network Modeling and Performance Insights group is seeking a skilled and driven senior software engineer for the design and development of our internal advanced AI-networking simulation service. The simulation service is a critical tool for developing and improving NVIDIA’s AI system offering and has direct influence on HW and SW design, network architecture, performance characterization and optimization. In this role, you will be responsible for developing and optimizing the network simulation service. You will enhance the simulator performance and quality and scale it to support massive loads, additional clients and unique use cases. You will work on integrating this infrastructure with cloud computation services and ensure the simulation is available as a service for AI agents and internal customers. If you're passionate about tackling intricate challenges and contributing to comprehensive software solutions, we want to hear from you.   What you'll be doing: • Design and develop simulation capabilities, integrating internal and external libraries and maintaining a clean, scalable architecture for a complex SW project. • Expand the simulation versatility to accommodate advanced use cases and bleeding-edge requirements. Provide innovative solutions to scalability and fidelity trade offs of the simulator. • Improve the quality of the simulation as a software product, ensuring robustness and reliability. • Expose the simulation as a service to facilitate easier access for different stakeholders. • Enhance simulation runtime and memory consumption through creative optimization techniques. • Integrate a new simulation management system, making simulated experiments data accessible to all users. • Collaborate with DevOps engineers to develop our CI/CD infrastructure for the networking simulation service, ensuring efficient deployment and smooth integration processes.   What we need to see: • BSc or above in Computer Science, Computer Engineering, or a related field. • 5+ years of relevant practical experience in software development, including significant work on a large-scale software system with strict performance considerations. • Proficiency in C++ and Python with knowledge of optimization techniques for improving system performance. • In-depth knowledge of computer science fundamentals, and computer architecture. • Excellent system perspective – you must be able to grasp the impact each layer on the system and the users. • Independent and motivated individual with strong communication skills. Ways to stand out from the crowd: • Development experience in a large, multidisciplinary simulation environment with many collaborators and diverse technical challenges. • Familiarity with discrete event simulators (e.g., OMNeT++, SystemC, or proprietary architectural simulators) • Knowledge of multi-core computation, code parallelization and relevant technologies (e.g. MPI) • Prior experience with cloud computing and parallelization of computational workloads • Experience in developing CI/CD pipelines and integrating services NVIDIA has some of the most forward-thinking and hardworking people in the world working for us, and due to unprecedented growth, our world-class engineering teams are expanding rapidly. If you are a creative and autonomous engineer with a real passion for technology, we want to hear from you.   We are committed to fostering a diverse work environment and are proud to be an equal-opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodation   #LI-Hybrid

NVIDIA is looking for a passionate Senior Software Engineer to join our Chip Design CAD team. In this role, you will contribute and work at the interesting junction of electrical and software engineering, developing SW tools and solutions used to design the next generation of Smart Adapters, Switches and GPUs for advanced data centers across the world. What you'll be doing: • Develop innovative SW solutions • Take part in defining methodologies affecting design and verification engineers’ day-to-day work • Improve existing tools, which are used in-house by electrical engineers for designing the next generation SoCs and Switches • Collaborate with designers, verification specialists and architects to accomplish your tasks What we need to see: • Computer Science degree with excellent grades • 5+ years of practical experience • Motivated, responsive, and keen on process improvement • Strong analytical, debugging and problem-solving skills • Strong programming skills, with familiarity using AI-powered development tools and workflows Ways to stand out from the crowd: • Experience in DA / CAD team • Knowledge in FE/BE chip design or Dynamic verification • Experience using AI-based IDEs, coding assistants, or agentic tools to improve development productivity • Practical experience developing, configuring, or training AI agents to solve engineering problems • Experience in a Linux environment NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're creative and hands-on with a real passion for technology, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is powering the world's most advanced AI Factories. To ensure their seamless operation, we are building a mission-critical Observability and Prediction platform - delivered as both a high-scale SaaS solution and a robust on-premises deployment for our largest enterprise customers. We are looking for a Senior Software Engineer to join the AIOps platform team and help build the core distributed systems that ingest massive telemetry streams from GPU clusters and operationalize predictive AI models at scale. You will work at the intersection of high-performance data engineering and production ML, turning research algorithms into reliable, mission-critical software. What you'll be doing: • Architect and build an agentic AIOps system that autonomously monitors GPU fleet health, aggregates and correlates massive telemetry streams, surfaces intelligent alerts, and orchestrates multi-step diagnostic workflows and corrective actions - powering real-time dashboards, automated root-cause analysis, and proactive incident response. • Research, evaluate, and prototype data storage strategies and data representations across diverse database technologies and modalities, ensuring AI models are trained on high-quality, well-structured data that improves predictive accuracy and generalization. • High-Scale Engineering: Design distributed systems to handle the extreme telemetry density of large-scale AI clusters, ensuring efficient data ingestion, processing, and real-time analysis. • Instrument services with deep observability (metrics, logs, traces) to support rapid debugging and continuous performance improvement. • Build and own the model-serving infrastructure that operationalizes predictive algorithms at scale - packaging, versioning, deploying, and monitoring AI models in both SaaS and on-premises environments. • Contribute to the platform's core libraries and abstractions that accelerate development across the broader AIOps engineering team. What we need to see: • B.Sc./M.Sc. in Computer Science, Computer Engineering, or a related technical field. • 8+ years of software engineering experience building production distributed systems. • Core Systems Programming: Expert-level proficiency in languages such as Go, C++, or Rust, with a focus on high-performance, concurrent architectures. • Solid understanding of Kubernetes and container-based deployments for production services. • Experience deploying, monitoring, and maintaining ML models or data-intensive services in a production environment. • Comfort working in ambiguous, fast-moving environments where the product is still being shaped. Ways to stand out from the crowd: • Experience building ML model-serving platforms or MLOps tooling (model registries, A/B rollout frameworks, feature stores) at scale. • A track record of taking systems from prototype to stable, production-grade platform serving real enterprise customers. • A "Systems" Thinker: You don't just write software; you understand the full stack, from how data moves across the wire to how it’s processed in a distributed cluster. • Practical Innovation: The ability to simplify complex problems and build internal tools or frameworks that empower other engineering teams to move faster. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are passionate about building mission-critical systems at the frontier of AI infrastructure, we want to hear from you.

The NVIDIA PerfTech team is looking for an outstanding Senior C++ Software Engineer to build the next generation of AI-powered developer tools. You will apply deep expertise in modern C++, systems architecture, performance, and debugging to extend our developer-tools ecosystem into the emerging world of agentic software. In this role, you will help develop Genie, NVIDIA’s company-wide AI knowledge and developer-productivity service. You will build production-quality C++ components and integrations while contributing to agentic workflows and retrieval systems that help engineers find information, understand complex systems, and work more effectively. What You’ll Be Doing: • Architect and develop production-quality C++ components, APIs, and integrations for NVIDIA’s AI-powered developer-tools ecosystem. • Build reliable, performance-sensitive systems connecting native C++ tools with Genie’s retrieval and agentic capabilities. • Design maintainable interfaces between C++ applications and AI services exposed through Python, MCP, REST APIs, and structured tool calling. • Contribute to agentic workflows, retrieval systems, ingestion pipelines, evaluation infrastructure, and enterprise integrations. • Drive technical initiatives from early exploration through production deployment, working closely with multidisciplinary engineering teams. • Mentor engineers and help establish best practices for production-quality AI-powered systems. What We Need to See: • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. • 5+ years of professional experience developing complex production software in modern C++. • Strong knowledge of software architecture, concurrency, debugging, performance optimization, and maintainable API design. • Experience owning complex systems from design through implementation, deployment, and ongoing operation. • Practical experience with AI-powered applications, agentic workflows, developer tools, retrieval systems, or related technologies. • Ability to integrate native C++ applications with Python-based services and service APIs. • Excellent communication skills and demonstrated ability to lead technical initiatives, clarify ambiguous requirements, and mentor engineers. Ways to Stand Out From the Crowd: • Experience building developer tools, profiling systems, debugging infrastructure, or performance-analysis platforms. • Background with MCP, structured tool calling, agent orchestration, or retrieval-augmented generation. • Experience designing secure, enterprise-scale retrieval or semantic-search systems. • Familiarity with LLM evaluation, grounding, observability, and hallucination reduction. • Knowledge of GPU architecture, graphics APIs, game engines, or application-performance optimization. NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working with us. If you are creative and autonomous, with a genuine passion for technology, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate—including in our hiring and promotion practices—on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a Senior Software Engineer to provide broad technical leadership for BlueField ARM processor platform boot, from early firmware through Linux login. Do you enjoy looking beyond the problem in front of you and asking how technology, tools, and engineering methods should evolve for the next generation of products? This is an opportunity to have an impact well beyond individual features! We value technical depth, curiosity, and practical innovation, and we want this role to help raise the technical capabilities of the entire organization. This senior individual-contributor position spans firmware, kernel, architecture, and product teams. You will help drive current product development while also shaping future technical direction, introducing new tools and methods, and improving how our teams develop, debug, validate, and understand complex systems. What you'll be doing: • Own the technical strategy and roadmap for BlueField platform boot integration, from early firmware through Linux login. • Set the technical direction for platform boot integration in partnership with the architecture team, experienced domain experts, product teams, and firmware partners. • Lead the most complex cross-layer technical issues and drive technical decisions with architecture and domain experts on reliability, security, performance, recovery, and platform readiness. • Define the operating model for boot integration: interface contracts, qualification criteria, release decisions, technical risk management, and escalation paths across organizations. • Identify and assess emerging technologies, development methods, and tools. Drive adoption where they improve product capability, quality, engineering efficiency, or time to debug. What we need to see: • Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or a related field, with 12+ years in embedded, firmware, or Linux system software. • Deep knowledge of ARM platform boot, including firmware, ATF, UEFI, bootloaders, Linux kernel bring-up, device tree, platform initialization, and userspace handoff. • A record of leading difficult cross-organizational projects from definition through delivery, including decisions with material product or schedule impact. • Experience influencing architecture and product direction through technical judgment, without relying on direct management authority. • Strong C skills and practical experience with Linux development, debugging, and hardware/software integration. Ways to stand out from the crowd • Hands-on experience with ATF, UEFI/EDK II, Linux kernel, or complex ARM SoC/server boot flows. • Experience with secure boot, measured boot, provisioning, firmware update, or recovery flows. • Experience building automated test, simulation/emulation, observability, or failure-triage infrastructure. • Experience introducing tools or engineering practices that significantly improved team efficiency or technical capability. • Knowledge of PCIe, I2C/I3C, SPI, SMBus, BMC interactions, reset and power sequencing, and server-platform interfaces. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a HPC Operations Engineer to join our mission and continue improving our HPC infrastructure. A meaningful part of NVIDIA’s strength is our unique and advanced development tools and environments that enable our incredible pace of innovation. We are looking for architects to help us evolve the way our private compute cloud is architected and optimized. What you’ll be doing: • Troubleshoot incoming support requests in a large-scale HPC environment. • Contribute improvements to existing deployment automation, configuration management, observability, and operational monitoring and day to day operation through automation. • Ensure compute servers are running an accurate Operating System and configuration. • Address Complex Issues: Perform comprehensive issue resolution from bare metal to application level, ensuring system reliability and efficiency. • Collaborate with specialist teams to drive issues to closure. • Collaborate with domain experts to improve how our chip development process utilizes our infrastructure. • Directly contribute to the overall quality and improve time to market for our next generation chips. What we need to see: • BS in Computer Science or similar degree or equivalent experience • 2+ years of experience Proficient in coordinating Centos/RHEL Linux distributions. • Understating of container technologies like Docker. • Proficiency in Python and UNIX scripting languages such as bash. • Excellent problem-solving skills, with the ability to analyze sophisticated systems, identify bottlenecks, and implement scalable solutions. • Excellent communication and teamwork skills, with the ability to work optimally with teams with varied strengths and individuals. • Proven understanding of cluster configuration managements tools such as Ansible. Ways to stand out from the crowd: • Understanding of key Linux technologies such as NFS, automounter, LDAP, DNS, and TCP/IP networking in Red Hat Linux distribution flavors. • Familiarity with job scheduler administration (e.g. IBM Spectrum LSF or SLURM) and experience building/ operating large scale compute infrastructure. • Knowledge of the FlexLM license management system. • Proficiency in Perl for maintaining legacy automation scripts. • Familiarity with High-Speed Networking (InfiniBand, RDMA, RoCE etc.) and fast, distributed storage systems (Lustre, GPFS, etc.)

NVIDIA is building the world’s most sophisticated AI computing platforms, powering breakthroughs in generative AI, large language models, and scientific discovery. Our accelerated computing technologies enable researchers, engineers, and enterprises to push the boundaries of what is possible with artificial intelligence. We are seeking a senior researcher to join us to explore new ideas at the intersection of RDMA, transport, algorithms, hardware and software, shaping the networking technologies behind the next generation of AI! We’re excited to learn from your perspective and work together to turn research into improvements that matter. In this role, you will join a group of researchers advancing innovation with deep technical knowledge, analysis, and comprehensive systems thinking. You will collaborate and learn with top architects and researchers responsible for some of NVIDIA’s most advanced networking technologies. Our insights directly affect NVIDIA's develop of products, from micro-architectural choices to applications and software libraries. This role suits researchers who can progress from identifying an application-level bottleneck, through transport and algorithm design, down to NIC microarchitecture and then confirm if the proposed solution delivers measurable system-level value. What you’ll be doing: • Conduct innovative research and analysis for the RDMA NIC & Transport Research group. Your research insights will build NVIDIA solutions and help drive innovation across the entire stack: • Develop deep expertise across NVIDIA’s RDMA and transport architecture. • Identify architectural gaps, opportunities, and competitive advantages. • Form research hypotheses and rigorously validate them through modeling/simulation/experimentation. • Translate findings into product proposals. What we need to see: • B.Sc. or M.Sc. in Electrical Engineering, Computer Science, Computer Engineering. • 4+ years of relevant experience • Demonstrated experience bridging across fields and contributing verifiable system-wide improvements. • A track record handling engineering trade-offs across product research and time-to-market. • Experience in programming and debugging within a production-scale software environment. • Excellent interpersonal skills, with the ability to present sophisticated technical findings clearly to domain experts and non-experts. Ways to stand out from the crowd: • Deep expertise in one or more networking domains, such as RDMA transport protocols, congestion control, multipath/load-balancing algorithms, NIC microarchitecture, collective communication and NCCL, rank placement, network topology, or AI training/inference communication. • PhD or equivalent experience in engineering, or a proven history of significant research work. • A drive for impact. We are an equal opportunity employer and value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability. We provide reasonable accommodations for individuals with disabilities throughout the application and employment process.

We are now looking for a verification engineer for our FC Switch Silicon team. As a FullChip verification Engineer at NVIDIA's Networking business unit, you'll join a group of passionate engineers to design and implement the next generation state-of-the-art Switch Silicon chips. In this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! What you'll be doing: • Work in a FC verification team within the Switch silicon. • Dynamic verification environments planning for units infrastructures and system level • Work closely with multiple teams within organizations such as Architecture, u-arch, Full chip Micro-Architecture, BE, and FW • Responsible to drive the FullChip verification execution, including staging plan of the projects and deliveries What we need to see: • Electrical Engineering B.Sc. or Computer Engineering B.Sc. • 2+ years of experience in dynamic verification. • Knowledge in network protocols and/or HPC and distributed calculations - advantage. • A team player with good communication and interpersonal skills. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our Switch Silicon design team and help us build the next chip in this exciting and quickly growing field.