Jobs in Ramat Gan

Description Coralogix is a modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, traces, and security events - with features such as APM, RUM, SIEM, and Kubernetes monitoring — all enhancing operational efficiency and reducing observability spend by up to 70%. We're a well-established startup, post-Series F, with paying customers and sales across the globe. Our design studio is mature, with multiple teams already in place - and we're looking for an exceptional, experienced Senior Product Designer to help us move the needle in a fast-paced, growing environment. Why this role is different This isn't a hand-off-the-mockups role. We give designers real ownership of the product: • End-to-end ownership. Every designer on the team owns projects from early wireframes to mockups to live, shipped features. You own the outcome, not just the artboard. • We're an AI-native design team. AI is woven into how we work day-to-day - Claude Code included - and the company actively supports and invests in giving us the best tools to do it well. • Designers ship to production. Our team has access to the company codebase and pushes UI code to production directly. This isn't about replacing engineers - it's about design owning the quality of the UI, working hand-in-hand with R&D. You'll be accountable for the product experience, not just advocating for it. You'll design work tools that help developers, DevOps, and R&D teams manage complex software - turning dense, technical, data-heavy problems into clear, elegant experiences for technical users. Responsibilities • Design end-to-end user experiences, from research and wireframes to high-fidelity mockups to final implemented live features. • Validate your work through user research - interviews, usability testing, and analysis of product data - and iterate quickly based on what you learn. • Ground your design decisions in evidence - product data, user research, and feedback - and help define the success metrics that connect your work to user needs and business goals. • Work closely with R&D and product teams to bring these experiences to life. • Take ownership of UI quality in production, including shipping front-end changes directly (with AI tooling and our design system). • Contribute to, manage, and refine our product style guide and design system. • Make complex technical solutions clear and usable for a technical audience. Requirements • 4+ years designing a complex system or platform. • Experience designing for data-heavy products - comfortable making dense data and complex information clear and usable. • Comfortable leading user research - interviews and usability testing - and translating findings into clear design decisions. • Strong interaction and visual design skills with high attention to detail. • Experience collaborating closely with R&D. • Expertise with prototyping and design tools (Figma, Figma Make, Claude Code, v0, or similar tools). • A solid understanding of CSS and HTML, and working knowledge of git and vibe coding. • Experience working with product data and research tools (Google Analytics, Mixpanel, Amplitude, Hotjar, Maze, or similar tools). • Strong systems thinking and a grasp of component-based design patterns. • Ability to adapt, switch gears, and meet deadlines in a fast-paced team. • Strong English, and excellent communication, presentation, and organizational skills. • A portfolio that showcases relevant, complex work. • Passion for crafting exceptional UX and a problem-solver's mindset - able to research and understand hard problems and deliver simple, elegant solutions. Nice to have We can teach the right person our AI workflow - but it's a real plus if you already bring: • Hands-on experience with AI-assisted workflows or tools like Claude Code. • Comfort with git and basic development workflows. • A University degree in Design. Cultural Fit We’re seeking candidates who are hungry, humble, and smart. Coralogix fosters a culture of innovation and continuous learning, where team members are encouraged to challenge the status quo and contribute to our shared mission. If you thrive in dynamic environments and are eager to shape the future of observability solutions, we’d love to hear from you. Coralogix is an equal opportunity employer and encourages applicants from all backgrounds to apply.

Mobileye is looking for a Senior Hardware Engineer to join our AV Platform group in Israel to design the next generation of autonomous driving systems. What will your job look like: • Board design including High-speed interfaces and power design. • Work with PCB Layout Engineers for multilayer PCBs. • Define and accompany Si/Pi simulation activity and/or execute such simulations when required. • Accompany Mechanical Design and Thermal/Mechanical simulation. • Execute Board Bring-up and take care of suitable test report documentation. • Prepare, HW/SW Interface documentation, as well as any HW manual board required. • Lead complex debug, fault analysis activities, and find creative solutions. • Accompany Validation and automotive Qualification tests (DVT/PVT). • Direct communication with customers, suppliers, architects, project managers, and various stakeholders. All you need is: • BSc Electrical / Electronic Engineering from a known institute, preferably a leading university. • Minimum 7 years of experience of HW Board Design involving high speed signals. • Strong system-level understanding. • Knowledge and experience in hands-on board debug. • Background with board-design tools (preferably Orcad). • Good SI/PI understanding in perspective of multi-layer PCB design. • Knowledge of operating laboratory equipment (such as Oscilloscope, Logic-Analyzer, Spectrum Analyzer, VNA). • Team player with a very good interpersonal relationship. • Organized and detailed oriented. • Fluent in English (spoken and written). Nice to have: • Experience in Automotive HW design. • Experience with EMC/Power design. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye is a global leader in autonomous vehicle (AV) technology. If you’re an experienced deep learning developer driven by a passion to shape the future of mobility, join us to make AV a reality. The 3D Perception team builds transformer-based vision models trained on large-scale driving video for the next generation of autonomous vehicles. Our end-to-end temporal network fuses multi-view cameras into a unified 3D sensing state that powers planning. What will your job look like? • Develop, implement and optimize state-of-the-art transformer-based temporal vision models. • Extend network capabilities, analyze results and errors, and deliver measurable improvements to the driving scene understanding. • Work shoulder-to-shoulder in a large, collaborative group. • Research and integrate the latest advancements in 3d detection and perception. • Improve algorithmic performance through rigorous experimentation and innovation. • Work with large-scale datasets. • Research new advances in the field from the literature and industry. • Code primarily in Python. All you need is: • M.Sc. in Computer Science or a related field. • 3+ years of experience developing, implementing, training and analyzing deep learning algorithms in Python. • Top-tier mathematical, analytical, and coding skills. • Strong self-learner and research capabilities with a proven track record from industry or academia. Nice to have: • PhD in Computer Science or a related discipline. • Experience in computer vision, multi-view geometry and 3D reconstruction.

We are Object Perception group at Mobileye, developing deep learning–based perception systems for autonomous driving. Our work spans scene understanding, multi-camera reasoning, 3D modeling, and behavior prediction. We are looking for a senior computer vision engineer: a hands on individual contributor whose work will be broad and touch many projects across the group, to lead long-term research initiatives and POCs that shape the technical direction of our technology. What will your job look like: • Lead long-term applied research and POCs that determine the direction of our perception and autonomy technology. • Design and implement modern end-to-end perception and multi-modal learning systems across diverse vision tasks (e.g., detection and tracking, 3D reconstruction, multi-camera fusion, motion prediction). • Translate research innovations into high-quality, validated POCs designed for adoption by production teams and deployment within autonomous vehicle platforms. All you need is: • M.Sc. in Mathematics, Computer Science, Electrical Engineering, or related field (PhD - an advantage). • 4+ years of hands-on experience developing computer vision and deep learning systems. • Proven experience driving vision models from research through POC and into production. • Able to take a vaguely-defined research direction and own it end-to-end, independently. • Strong programming skills in Python. Nice to have: • Broad hands-on experience across vision tasks such as object detection and tracking, and 3D scene understanding. • Technical leadership experience (team management experience an advantage). • Experience in motion prediction, trajectory forecasting, behavior modeling, or learning-based navigation for autonomous systems. • First-authored publications at leading peer-reviewed conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICML, ICLR). Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye is looking for a Signal Integrity Engineer to join AV group and develop of the next generation of Autonomous Driving products. Mobileye is a leading innovator in the automotive industry, dedicated to delivering cutting-edge technology and solutions. We are committed to advancing automotive safety, efficiency, and connectivity through our state-of-the-art ECUs. We are seeking a highly skilled Signal and Power Integrity Simulation Engineer to join our hardware engineering team. In this role, you will be responsible for analyzing and optimizing signal and power integrity in complex electronic systems. You will work closely with design and validation teams to ensure high-performance designs that meet industry standards. What will your job look like: • Conduct signal integrity (SI) simulations for automotive electronic systems, analyzing and optimizing high-speed interfaces, such as LPDDR4/5, PCIe Gen4/5, A/C/D-PHY, Multi Giga-Bit Ethernet . • Conduct Power integrity (PI) simulations, optimizing target impedance and AC coupling in power delivery networks to ensure optimal performance and reliability. • Collaborate with Silicon & Hardware design engineers, IP providers, Electrical and System Validation teams, EDA tools vendors, and product managers to address SI/PI issues and provide actionable design recommendations. • Engage in joint simulation and measurement efforts with the Electrical Validation team to facilitate comprehensive validation of designs. Perform root cause analysis on signal and power integrity failures and propose effective corrective actions. • Generate comprehensive reports and presentations to communicate simulation findings and design strategies to technical and non-technical stakeholders. All you need is: • Bachelor or master's degree in electrical engineering. • At least 5 years of experience as an Integrity Engineer. • Proven experience in signal and power integrity analysis • Proficiency in simulation tools such as HyperLynx, ANSYS, ADS or equivalent, including 2.5D/3D extraction. • Strong knowledge of transmission line theory, electromagnetic principles, and PCB design best practices. • Experience with lab measurement equipment for SI/PI validation (e.g., oscilloscopes, TDR) - Advantage • Excellent analytical and problem-solving skills, with a keen attention to detail. • Strong communication skills and the ability to work collaboratively in a dynamic team environment. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

We are looking for a Senior ML Algorithm Engineer to lead the development and optimization of machine learning models for challenging real-world problems. In this role, you will work hands-on across the full model-development lifecycle: understanding the task, designing and adapting algorithms, building effective training strategies, analyzing data and failure modes, and improving model quality and efficiency through rigorous experimentation. This is an algorithm-focused role for someone who enjoys getting deeply involved in the details of model training and optimization. You will not simply operate an existing training infrastructure—you will investigate open-ended problems and develop practical solutions involving model architecture, data and sample selection, training objectives, optimization methods, and evaluation What will your job look like: • Work on the semantics of road objects, using harvested tabular data as the primary input to our algorithms — turning large-scale, real-world observations into models that capture object meaning, attributes, and behavior on the road network. • Design, implement, and optimize machine learning and deep learning algorithms for these semantic tasks, from architecture and training objectives through evaluation and efficiency. • Develop and improve end-to-end model training pipelines, from data preparation and sampling of harvested tabular datasets through training and evaluation. • Investigate model behavior, identify failure modes, and drive targeted algorithmic improvements. • Develop effective strategies for data selection, dataset composition, sampling, augmentation, loss design, and training schedules. • Lead the investigation of complex algorithmic challenges, uncover patterns in data and model behavior, and translate insights into measurable improvements. All you need is: • 5+ years of experience in algorithm engineering using machine learning, deep learning, or neural networks. • Strong hands-on experience designing, training, evaluating, and optimizing. • Strong programming skills in Python. • Hands on experience with Spark, Pandas, Pytorch and AWS. • Experience with Polars and DuckDB- an advantage • Experience with some of the following: sampling strategies, data augmentation, hyperparameter optimization • Strong understanding of distributed systems, scalability, and performance optimization. • Ability to independently investigate complex problems, identify patterns in data and model behavior, run experiments, and translate findings into measurable algorithmic improvements. • Strong analytical and problem-solving skills, with a practical, hands-on, and ownership-driven mindset. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

The AV Sensing group is responsible for the critical and challenging task of object detection and scene comprehension using LiDAR and Radar sensors. Our team develops scalable infrastructure and software solutions for processing, validating, and working with complex 3D sensor data. What will your job look like: • Lead and mentor a team of ~5 Software and Algorithm Developers, while staying closely involved in technical decisions, system design, and architecture. • Design and build scalable data infrastructure and software solutions that support large-scale data workflows for Algorithm and Deep Learning teams. • Develop Python-based libraries, data workflows, validation and monitoring systems for large-scale sensor data. • Work closely with Algorithm and Deep Learning teams to understand their needs and translate them into scalable software and data solutions. • Build and maintain development infrastructure, including databases, dashboards, CI/CD pipelines, and automated documentation. • Contribute to technical solutions involving 3D data, calibration, coordinate transformations, and geometric concepts. All you need is: • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field. • 2+ years of experience leading, mentoring, and developing engineering teams. • Strong foundation in algorithms, data structures, and algorithmic complexity. • 5+ years of hands-on Software / Backend engineering experience, with strong Python skills and experience building large-scale production systems. • Strong experience designing and building scalable data-intensive systems, including distributed architectures, databases, cloud-based services, and microservices. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye is a pioneering force in the autonomous vehicles (AV) industry. Join us to build the brain behind the car — a large-scale, multi-task neural network that powers the core of Mobileye’s autonomous stack. You’ll design and train cutting-edge deep learning models tailored for our custom EyeQ chip, tackling end-to-end challenges and deploying real-world solutions. From novel architectures and advanced training techniques to performance tuning under tight constraints, you’ll work closely with software and hardware teams to turn research into high-impact, production-ready systems. If you’re a brilliant, hands-on researcher with a passion for shaping the future — this is your launchpad. Our team is at the forefront of Mobileye’s most advanced AI efforts. As a central hub for deep learning innovation, we’re trusted with designing the core neural network architecture that powers the company’s flagship products. If you’re seeking a high-impact role among top-tier researchers and developers — this is the place to be. All you need is: • PhD in Computer Science or a related discipline (exceptional MSc candidates will be considered). • 4+ years of hands-on experience developing deep learning algorithms in Python. • Experience building end-to-end DL pipelines: data preparation, training, evaluation, and deployment. • Proficiency in at least one deep learning framework (e.g., TensorFlow, PyTorch). • Excellent problem-solving skills and a research-oriented mindset. Advantages: • Industry experience in DL or software development. • Familiarity with hardware-aware model optimization. • Experience with cloud platforms (e.g., AWS), Docker, and Linux environments. • Publications or contributions in the fields of deep learning, neural architecture search, knowledge distillation or multi-task learning. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Join PUMA, the team developing the deep-learning perceptions solutions at the heart of Mobileye's autonomous-driving system. Our work powers advanced, large-scale multi-task models. We are looking for an ML Data Engineer to own the engineering foundations behind its development and training. You will build pipelines and tools that process images, video, geometric information, and evaluate model outputs. Working alongside deep-learning researchers, you will eliminate resource-intensive bottlenecks and reduce computation costs and iteration time. What will your job look like? • Optimize distributed data and evaluation pipelines for memory efficiency, throughput, and training performance. • Build tools for data exploration, manipulation, validation, and quality assessment. • Own model manipulation, packaging, distribution workflows, and interfaces with downstream deployment and EyeQ integration. • Coordinate data contracts and workflows with researchers, infrastructure and data teams, and internal customers across Mobileye. All you need is: • Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related field from a leading university. • 4+ years of hands-on software or data-engineering experience. • Excellent Python and Linux skills with strong software-engineering foundations. • Experience with SQL, Spark, and PyArrow. • Experience optimizing distributed pipelines or compute-intensive systems for memory use and parallel execution. • Familiarity with PyTorch and ML workflows, including datasets, training, checkpoints, evaluation, and GPU computation. • Strong ownership, independent problem-solving, and cross-team collaboration skills. Nice to have: • Master's degree in a relevant field. • Experience in computer vision or autonomous-driving systems. • Familiarity with model deployment, hardware-aware ML, or specialized AI accelerators. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Join Mobileye’s Cutting-Edge Journey as a Technical Program Manager (TPM) Are you an energetic, self-driven problem-solver with a knack for turning chaos into clarity? Mobileye is searching for a Technical Program Manager (TPM) to join our R&D Program Management team. This is your chance to make a direct impact on the future of Advanced Driving Assistance Systems (ADAS), L2+, and Autonomous Vehicles. As a TPM, you’ll thrive in a dynamic environment, spearheading large-scale, cross-functional projects that are pivotal to Mobileye’s success. You’ll be at the intersection of high-level strategic planning and hands-on implementation, working closely with C-level executives, engineering teams, and other key stakeholders. If you have a passion for tackling complexity and driving innovation, this role is for you. What will your job look like: • Take ownership of the end-to-end execution of critical projects, aligning with Mobileye’s Product Group vision. • Lead in a dynamic environment, finding creative solutions to ensure smooth execution across departments. • Leverage your hands-on software development expertise and architectural understanding to align technical implementation with business goals. • Proactively identify and remove roadblocks, enabling engineering teams to focus on innovation. • Collaborate with senior executives to deliver high-impact results, influencing strategic priorities. • Foster streamlined processes and technology improvements to reduce friction and accelerate delivery. All you need is: • B.Sc. in Computer Science or a related engineering field. • 3-7 years of experience managing/leading software development teams. • Hands-on experience in software product/project management – Advantage. • Experience with DevOps and development infrastructure – Advantage. • Outstanding problem-solving, organizational, and analytical abilities. • Proven ability to thrive in fast-paced environments, simplify complexity, and independently navigate ambiguity while staying ahead. • Exceptional communication and collaboration skills, enabling seamless interaction across all levels, from engineers to executives, with a strong sense of ownership and commitment to project success. • Fluent in English and Hebrew. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

The AI Engineering group builds modern infrastructure and solutions that improve how algorithms are developed at Mobileye. We are a small, independent team of experienced engineers with a mix of skills in algorithms, software, and infrastructure. We work in a DevOps style and build cross-team solutions that support research and development of advanced perception algorithms. Our flagship project is a unified AV dataset used to train and evaluate next-generation models. We take large volumes of multi-camera video, object labels, HD maps, and sensor data from across the organization, and turn it into a curated, high-quality training set - at scale. We are looking for someone who brings ML and computer-vision depth to the team - someone who can help shape the intelligence layer that decides what data is worth training on. What will your job look like: • Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you will contribute across the full stack alongside the rest of the team. • Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset. • Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration. • Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset. • Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria. • Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training. • Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms). All you need is: • 4+ years in data engineering or backend/software engineering with serious data work — pipelines that run in production, not just notebooks. • Strong Python and the PyData stack (NumPy, PyArrow, Pandas, DuckDB). • Some background in research, algorithms, or ML — enough that you can read a paper, understand a model's outputs, and have informed conversations with algorithm engineers. • Comfort working with vision-model outputs as data: embeddings, detection results, VLM responses. • Ability to work across team boundaries — this role lives between algorithm teams, infra teams, and our own. Nice to have: • Experience with autonomous-driving datasets or perception pipelines. • 3D geometry and camera model intuition (or the mathematical background to ramp up). • Workflow orchestration (Argo, Airflow, Kubeflow). • Vector databases or columnar analytics (LanceDB, DuckDB, Parquet at scale). • Familiarity with curation concepts (active learning, hard-example mining, distribution balancing) — useful context, not a requirement. • Exposure to LLM agents or agentic workflows for data tasks. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye is looking for a Senior Hardware Engineer to join the AV Platform group. This role combines board design with Signal Integrity (SI) simulations. You will combine the design and SI capabilities for the various projects across the group. What will your job look like: • Board design including high-speed interfaces and power circuits. • Perform SI simulations for interfaces such as PCIe, MIPI, and Ethernet, and recommend design improvements. • Work with PCB layout engineers on multilayer boards layout. • Support PI simulations and collaborate with various teams to investigate integrity issues. • Participate in board bring-up, lab debugging, validation, and qualification. All you need is: • BSc in Electrical or Electronic Engineering. • 5+ years of experience in high-speed hardware board design. • At least 4 years of hands-on experience with SI simulations and tools such as HyperLynx, ANSYS, or ADS. • Good understanding of transmission line theory, electromagnetic principles, and multilayer PCB design. • Experience with board design tools, preferably OrCAD, and hands-on board debugging. • Strong analytical, communication, and teamwork skills. • Fluent English.

Our vision Localization group is responsible for accurately localizing the vehicle on a high-definition 3D map with centimeter-level precision using surround camera systems to enable autonomous driving. Our work combines advanced geometric reasoning, scene understanding, and large-scale mapping to solve one of the core challenges of autonomous vehicles in complex real-world environments. The role involves developing algorithmic and deep learning solutions that integrate mathematical optimization, computer vision, and 3D geometry. We work with modern neural network architectures including Transformers, GNNs, and CNNs to solve problems involving scene understanding, object association, and precise spatial reasoning in dynamic environments. The HD map contains rich geometric and semantic information that is critical for safe driving and cannot always be inferred reliably from images alone under all visibility conditions or viewpoints. In addition to achieving highly accurate localization, the team is also responsible for estimating map relevance and consistency with the current world state to ensure safe and reliable autonomous driving. What will your job look like: • Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems. • Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks. • Solve challenging problems involving 3D geometry, scene understanding, object matching, and spatial reasoning. • Combine learning-based methods with classical optimization and geometric algorithms. • Own the entire lifecycle from prototyping to deployment. • Analyze real-world driving data and improve system robustness under diverse environmental and visibility conditions. • Drive innovative solutions for high-precision localization at production scale. All you need is: • B.Sc. in Computer Science, Software Engineering, or a related field from a leading university with a proven record of excellence. • M.Sc. with a research thesis is an advantage. • Strong programming skills in Python and C++. • Solid foundation in algorithms, data structures, mathematics, and computer vision or deep learning fundamentals. • Strong analytical skills, a high level of ownership, and the ability to work effectively in a collaborative environment. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye is looking for a talented and passionate Talent Acquisition Partner to join our one-of-a-kind HR team. As a Talent Acquisition Specialist, you will be responsible for leading and delivering end-to-end recruiting processes and solutions for one of Mobileye's business units. You will develop a recruiting strategy for your business unit, collaborate with hiring managers and other stakeholders to promote and execute it. You will lead and be a part of a cross-organizational recruiting initiative promoting different topics like candidate experience, diversity, employer brand, etc. Our ideal candidate will have the ability to address challenges with creativity and analytical thinking, will be a strong executer, and have the ability to work independently and engage others, see the big picture with a strong hands-on approach, and have excellent communication skills and a positive mindset. What will your job look like: • Lead end-to-end recruitment process in a rapidly growing R&D business unit. • Partner closely with your business units to create innovative and scalable sourcing and hiring strategies to meet business goals. • Work closely with hiring managers, become their trusted recruitment partner, provide guidance, and help them build excellent teams. • Creatively source top-notch candidates via multiple sourcing channels and maintain a strong talent pipeline. • Serve as a point of contact for candidates throughout the hiring process. • Compile, analyze and capture insights from data to support recruitment business decisions, strategy, processes, and activities. • Take part and lead cross organizational recruiting initiative promoting different topics like candidate experience, diversity, employer brand, EVP creation etc. • Plan and organize recruiting related events and special projects - Meetups, special programs, tech events, panels and webinars. All you need is: • Experience as a recruiter from a high-tech company - must. • BA in a related field from a leading institution, MA/MBA - advantage. • Fluent English - must. • Strong analytical skills. • Proficiency in AI tools to enhance recruiting, sourcing, and day-to-day productivity. • Out of the box, creative thinking. • Self-starter, independent, results-oriented and executer. • Excellent communication skills and a positive approach and spirit. • High energy and collaborative team player. • Able to follow up and get things done in a fast-moving and changing environment At Mobileye, we work from the office 4 days per week. For this role specifically, 2 of those days would need to be from our Jerusalem office. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

How do you generate a driving scene that stays consistent over time, across cameras, and under controlled changes? These are exactly the types of problems we solve. Mobileye’s Visual GenAI team develops image and video generation capabilities for autonomous driving, with a growing focus on video and world models. We’re looking for a hands-on researcher to help shape our research direction and turn ideas into working capabilities, with access to large proprietary driving datasets and close collaboration with the teams developing Mobileye’s next generation of autonomous driving technology. What will your job look like: • Research and develop image and video generation models, with a focus on temporal consistency, multiview coherence, and controllable driving-scene generation. • Explore and adapt state-of-the-art world models for autonomous driving, helping shape the team’s research and technical direction. • Own the full development lifecycle, from research and experimentation to model training, evaluation, and integration into real-world workflows. • Build scalable, clean Python and PyTorch implementations for training and evaluating generative models. • Collaborate with AI researchers and perception teams to develop generative capabilities for training and evaluating autonomous driving systems. All you need is: • M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related field. • 3+ years of industry experience in Deep Learning and Computer Vision, preferably working on generative AI or foundation models. • A hands-on approach and the ability to turn research ideas into working solutions. Nice to have: • Hands-on experience training image or video generation models, including diffusion and flow-based models. • Experience with world models, multiview generation, 3D scene representations, or temporal modeling. • Experience training or adapting foundation models, including Vision-Language Models (VLMs) and other multimodal models. • Experience with distributed training and large-scale datasets. • Publications in top-tier conferences such as CVPR, NeurIPS, ICCV, or ECCV. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Our vision Localization group is responsible for accurately localizing the vehicle on a high-definition 3D map with centimeter-level precision using surround camera systems to enable autonomous driving. Our work combines advanced geometric reasoning, scene understanding, and large-scale mapping to solve one of the core challenges of autonomous vehicles in complex real-world environments. The role involves developing algorithmic and deep learning solutions that integrate mathematical optimization, computer vision, and 3D geometry. We work with modern neural network architectures including Transformers, GNNs, and CNNs to solve problems involving scene understanding, object association, and precise spatial reasoning in dynamic environments. The HD map contains rich geometric and semantic information that is critical for safe driving and cannot always be inferred reliably from images alone under all visibility conditions or viewpoints. In addition to achieving highly accurate localization, the team is also responsible for estimating map relevance and consistency with the current world state to ensure safe and reliable autonomous driving. What will your job look like: • Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems. • Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks. • Solve challenging problems involving 3D geometry, scene understanding, object matching, and spatial reasoning. • Combine learning-based methods with classical optimization and geometric algorithms. • Own the entire lifecycle from prototyping to deployment. • Analyze real-world driving data and improve system robustness under diverse environmental and visibility conditions. • Drive innovative solutions for high-precision localization at production scale. All you need is: • 5+ years of practical experience developing computer vision or machine learning solutions using Python and frameworks such as PyTorch or TensorFlow – must. • B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with strong academic performance. • Solid foundation in algorithms, data structures, and computer vision/deep learning fundamentals. • Strong analytical skills, a sense of ownership, and the ability to work collaboratively. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

How do you generate a driving scene that stays consistent over time, across cameras, and under controlled changes? These are exactly the types of problems we solve. Mobileye’s Visual GenAI team develops image and video generation capabilities for autonomous driving, with a growing focus on video and world models. We’re looking for a hands-on researcher to help shape our research direction and turn ideas into working capabilities, with access to large proprietary driving datasets and close collaboration with the teams developing Mobileye’s next generation of autonomous driving technology. What will your job look like: • Research and develop image and video generation models, with a focus on temporal consistency, multiview coherence, and controllable driving-scene generation. • Explore and adapt state-of-the-art world models for autonomous driving, helping shape the team’s research and technical direction. • Own the full development lifecycle, from research and experimentation to model training, evaluation, and integration into real-world workflows. • Build scalable, clean Python and PyTorch implementations for training and evaluating generative models. • Collaborate with AI researchers and perception teams to develop generative capabilities for training and evaluating autonomous driving systems. All you need is: • Ph.D. in Computer Science, Electrical Engineering, or a related field. Exceptional M.Sc. candidates with a specialization in Gen AI will also be considered. • 5+ years of industry experience in Deep Learning and Computer Vision, preferably working on generative AI or foundation models. • A hands-on approach and the ability to turn research ideas into working solutions. Nice to have: • Hands-on experience training image or video generation models, including diffusion and flow-based models. • Experience with world models, multiview generation, 3D scene representations, or temporal modeling. • Experience training or adapting foundation models, including Vision-Language Models (VLMs) and other multimodal models. • Experience with distributed training and large-scale datasets. • Publications in top-tier conferences such as CVPR, NeurIPS, ICCV, or ECCV. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye’s Hawkeye team is developing advanced close-range 3D perception for autonomous vehicles, enabling safe automated parking and low-speed maneuvers in tight environments. We build multi-camera deep learning systems for precise and reliable understanding of the vehicle’s surroundings. What will your job look like: • Research and develop cutting-edge end-to-end 3D perception models combining geometry and semantics. • Work on 3D Semantic Occupancy, Geometry Reasoning, 3D Reconstruction, 3D Object Detection, and related tasks. • Innovate in multi-view fusion, motion handling, and spatial representation learning. • Deliver models that run on real vehicles and integrate into production systems. All you need is: • 4+ years of hands-on experience in Machine Learning and Deep Learning. • M.Sc. in a relevant field (Machine Learning / Computer Vision / Robotics / similar). • B.Sc. from a leading university. • Strong Python development skills. • Highly motivated, hard-working, proactive, and driven to solve challenging problems. • Ability to operate in a fast-paced research & development environment. Nice to have: • PhD or relevant academic publications. • Experience with Linux, Git, Docker, C++. • Knowledge in 3D perception, computer vision, or robotics. • Industry experience working on CV and Deep Learning. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye is looking for a strong Senior C++ Developer to join the Lidar&Radar Deep Learning group and play a key role in building production-level systems around our core 3D sensing, perception, and deep learning algorithms. This is a rare opportunity to build the software layer bringing cutting-edge computer vision neural network models into efficient, reliable, production-ready systems running on edge devices in autonomous vehicles. You will be part of a small, growing group working closely with algorithm developers to bring cutting-edge 3D perception models into real-world vehicle systems. This is a hands-on role with high ownership. Ideal for engineers passionate about modern C++, real-time systems, and AI deployment, this position offers the opportunity to tackle complex technical challenges and grow into broader leadership. What will your job look like: • Design and implement large-scale C++ systems around AI and algorithmic pipelines for 3D sensing and perception in a real-time, vehicle-oriented environment. • Integrate neural network models into production software — including model runtime integration, sensor/data flow, pre/post-processing, and system-level validation. • Optimize runtime performance, memory usage, latency, and throughput for high-precision 3D perception workloads in resource-constrained environments. • Build and own application-level infrastructure that enables algorithmic and neural network solutions to run efficiently on edge devices under strict latency and resource constraints. • Contribute to neural network deployment flows, such as model conversion, inference execution, profiling, and optimization. • Lead end-to-end development of features — from design and implementation to integration, testing, and deployment. • Take part in building CI/CD processes, automated testing, and development workflows for production algorithm systems. • Collaborate with multiple teams across Mobileye, gaining deep exposure to both system architecture and state-of-the-art 3D sensing and AI algorithms. All you need is: • 4+ years of hands-on C++ development experience. • B.Sc. in Computer Science, Software Engineering, or equivalent. • Strong understanding of object-oriented design, software architecture, and large-scale system development. • Experience working in Linux environments. • Interest in neural network deployment on edge devices, including inference runtimes, performance optimization, and model integration. • A proactive, ownership-driven mindset, with interest in growing into a broader technical leadership role. Nice to have: • 2+ years Hands-on Python development experience, including the PyData stack (NumPy, Pandas). • Experience with performance optimization, memory efficiency, and real-time systems. • Familiarity with CI/CD processes and automated testing. • Experience with algorithm, computer vision, deep learning, 3D perception, or data teams. • Background in 3D computer vision, point clouds / depth, object detection, or embedded/edge AI deployment. • Experience with workflow orchestration tools (Airflow, Argo). • 2+ years in data engineering or backend systems with large‑scale data (production environments). Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye is looking for a strong C++ Developer to join the Lidar&Radar Deep Learning group and play a key role in building production-level systems around our core 3D sensing, perception, and deep learning algorithms. This is a rare opportunity to build the software layer bringing cutting-edge computer vision neural network models into efficient, reliable, production-ready systems running on edge devices in autonomous vehicles. You will be part of a small, growing group working closely with algorithm developers to bring cutting-edge 3D perception models into real-world vehicle systems. This is a hands-on role with high ownership, combining deep C++ development, neural network integration, system optimization, and production delivery. The role is ideal for someone who is excited by the intersection of modern C++ engineering, real-time systems, and deep learning deployment for high-precision 3D sensing — and who wants to grow over time into a broader technical leadership position. ** The role includes working on-site at our Jerusalem office several days per week. What will your job look like: • Design and implement large-scale C++ systems around AI and algorithmic pipelines for 3D sensing and perception in a real-time, vehicle-oriented environment. • Integrate neural network models into production software — including model runtime integration, sensor/data flow, pre/post-processing, and system-level validation. • Work closely with deep learning, computer vision, and 3D algorithm teams to take models from research/prototype stage into robust production systems on the vehicle. • Build and own application-level infrastructure that enables algorithmic and neural network solutions to run efficiently on edge devices under strict latency and resource constraints. • Optimize runtime performance, memory usage, latency, and throughput for high-precision 3D perception workloads in resource-constrained environments. • Contribute to neural network deployment flows, such as model conversion, inference execution, profiling, and optimization. • Lead end-to-end development of features — from design and implementation to integration, testing, and deployment. • Take part in building CI/CD processes, automated testing, and development workflows for production algorithm systems. • Debug complex real-time systems involving C++ infrastructure, 3D algorithmic logic, and neural network execution. • Collaborate with multiple teams across Mobileye, gaining deep exposure to both system architecture and state-of-the-art 3D sensing and AI algorithms. All you need is: • B.Sc. in Computer Science, Software Engineering, or equivalent. • 2+ years of hands-on C++ development experience. • Strong understanding of object-oriented design, software architecture, and large-scale system development. • Experience working in Linux environments. Nice to have: • Hands-on Python experience, including the PyData stack (NumPy, Pandas). • Experience with performance optimization, memory efficiency, and real-time systems. • Familiarity with CI/CD processes and automated testing. • Experience working closely with algorithm, computer vision, deep learning, 3D perception, or data teams. • Experience with workflow orchestration tools (Airflow, Argo). • Experience in data engineering or backend systems with large‑scale data (production environments). Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!