Engineering Manager jobs in Haifa

Description About Us We are an NVIDIA partner, delivering professional services in advanced software development, artificial intelligence systems, and high-performance AI solutions. We build production-grade AI systems optimized for NVIDIA GPU platforms, working across multiple applied AI domains, including Generative AI / Agentic Systems. Role Overview We are looking for an experienced AI Software Engineering Manager to take a leading role in designing, building, and delivering advanced AI systems for real-world applications. This role is suited for a hands-on engineering manager with strong software engineering, project management and leadership skills and deep experience in applied AI, who enjoys solving complex problems, owning technical solutions end-to-end, mentoring team members, and engaging with customers. Projects typically focus on LLM or Multimodal LLM based agentic systems. What We Work On Our work spans software engineering and AI domains: • Design and implementation of agentic systems powered by Large Language Models (LLMs) • Deployment of open-source LLMs on NVIDIA GPUs • High-performance inference using NVIDIA technologies such as NVIDIA NIM (Inference Microservices) • System-level design for reliability, scalability, and performance • Multimodal agents for text, image, audio, and video processing • Performance optimization on GPU platforms. Key Responsibilities • Lead, manage, and develop a high-performing team of AI Software Engineers, fostering a strong engineering culture, setting clear expectations, providing ongoing coaching and feedback, managing performance, and supporting individual career growth. • Lead and manage AI software engineering projects end-to-end, from planning to deployment, while actively designing and hands-on coding core components of the solution. • Lead or facilitate Agile execution, including sprint planning, backlog refinement, daily stand-ups, and retrospectives. • Drive technical excellence through code reviews, design reviews, and architecture discussions, guiding the team in building scalable, reliable, maintainable, and secure software systems with clean code and rigorous software engineering practices. • Serve as the primary technical point of contact for customers and/or product teams, translating requirements into effective technical solutions. Requirements • BSc or MSc in Computer Science, Electrical Engineering, or a related field • 7+ years of hands-on Software Engineering • experience in designing and developing complex systems across all software layers, including AI pipelines, middleware, databases, backend, and frontend • 2 years of experience in leading people and project management, preferably with Agile methodologies • 2+ years of experience in building AI and LLM-based software systems in the cloud, including agentic workflows, reasoning systems, prompt engineering, and/or harness engineering • Strong proficiency in Python and modern AI frameworks • Deep knowledge of Software Engineering principles, including software architecture, design patterns, clean code, test-driven development, code quality, maintainability, and observability Experience with system-level design, debugging, and performance optimization Nice to Have • Experience with NVIDIA technologies (CUDA, TensorRT, Triton, NVIDIA NIM) • Experience with GPU performance profiling and optimization • Experience with Multimodal LLM agents for text, image, audio, and video processing • Experience with LangChain, LangGraph, React, TypeScript, Redis Pub/Sub, SQL, NoSQL, vector databases, containerized development, Git • Experience with deep learning architectures (CNNs, Transformers) • Background in high-performance or low-latency systems Experience leading and collaborating with distributed engineering teams across multiple countries What We Offer • Ownership of complex, high-impact AI projects • Work with cutting-edge NVIDIA GPU and AI technologies • Influence over architecture, tooling, and technical direction • A collaborative, engineering-driven culture • Real-world, production-scale AI challenges Full time Job Location: Haifa, Hybrid We at Deloitte believe that diversity and inclusion among our people is a critical component of our success and that is why we cultivate an organizational culture that contains and embraces diversity in all its forms. Description Hebrew . Requirements Hebrew .

Mobileye is a global leader in Physical AI, developing computer vision, software, and hardware to power autonomous driving solutions and humanoid robots. Our mission is to bring autonomy into the real world by building intelligent technologies that are designed to expand accessibility and enhance everyday life, from advanced driver assistance systems (ADAS) and autonomous driving to robotics and humanoids. Built on decades of automotive innovation and industrial-scale AI expertise, Mobileye technologies power more than 230 million vehicles worldwide. With teams around the world, we continue to innovate at the forefront of autonomous systems, advancing the next generation of Physical AI for the real world. About the team: Mobileye is looking for a skilled and motivated Embedded SW Group manager for the Platform OS Department to manage the OS integration, automation & qualification activities. The Platform OS department of Mobileye is leading a global effort of making the Linux OS as the Automotive Safety OS that will fuel the Autonomous Vehicle and the whole automotive industry. You’ll lead a fast-paced, hands-on and dynamic group of integration and automation engineers, contributing to the overall qualification and integration effort of Mobileye while collaborating with other teams across the organization. What will your job look like: • Lead a group of 12-15 engineers and team leads split into 2-3 teams of SW Integration, Automation and Qualification. • Manage the daily integration of the aggregated delivery of 5-6 OS teams upstream into Mobileye’s SW stack. • Daily tracking of changes coming from OS development teams and controlling their integration order, priorities, test coverage and conflicts. • Managing a daily integration forum to track nightly tests reports, triaging new issues and assigning them to development teams. • System level understanding of the OS features and tracking the test coverage developed by the OS developers. • Lead the development of the qualification system level tests to verify the quality of the integrated delivery. • Tracking the utilization, health, and allocation of the HW resources in the farm and balancing test coverage to HW availability. • Acting as a PoC for all OS integration and qualification issues. Both within the OS teams and externally. • Tracking bug escapes and their mitigation in the OS test coverage. All you need is: • B.Sc. or higher in Computer Engineering or Computer Science. • Prior experience in leadership of a tech lead role managing team leaders. • Proved experience in managing Integration of Embedded SW at high scale. • Experience in Continuous Integration & automation methodologies and tools. • Experience with unit and integration test environments and techniques is a big advantage. • Sharp analytical skills with strong C and Python programming background. • Advantage for previous experience with the embedded Linux Kernel development. 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!