General Motors

Job Description General Motors Israel (Herzliya) plays a significant role in shaping the future of GM vehicles through cutting-edge software and advanced vehicle technologies. GM is committed to a vision of Zero Emissions, Zero Crashes, and Zero Congestion. About the Group Within Vehicle Camera Services, we build advanced camera-based solutions that support vehicle safety, driver assistance, and connected experiences for millions of drivers worldwide. Our domain includes rear view, surround view, connected camera capabilities, trailer and towing features, NCAP-related safety functions, and additional vision-based systems deployed across GM vehicle platforms. We are a pragmatic, execution-focused engineering organization working across continents, disciplines, and product domains. As our systems expand across platforms, programs, and architectures, we are looking for a highly senior software engineer who combines deep technical capability with broad organizational influence. About the Role We are looking for a Staff/Principal Software Engineer to join our team. This role reports directly to the Director of Software Engineering and is a senior technical leadership position for someone who is exceptionally strong in hands-on software engineering and can also drive meaningful change across multiple teams, domains, and technical layers. This person will operate across Android, RTOS, embedded systems, platform integration, and product delivery boundaries, helping shape direction, solve critical problems, and raise engineering execution across the organization. The right candidate has the technical depth to go deep into architecture and implementation, the judgment to navigate ambiguity, and the credibility to work directly with senior managers, directors, architects, and cross-functional leaders. They should be comfortable switching between senior technical leadership and direct hands-on work in code, debugging, design reviews, integration, and problem solving. What will YOU do? • Lead technically complex efforts across Android, RTOS, and embedded software domains within the vehicle camera organization. • Drive architecture, design, and implementation decisions for critical software systems and cross-domain integrations. • Stay close to the code and work hands-on in ambiguous, high-risk, or high-impact areas. • Identify and resolve systemic technical issues that span components, teams, or organizational boundaries. • Influence software direction across platform, application, integration, and vehicle-level concerns. • Partner closely with engineering leaders, architects, systems engineering, program teams, and global stakeholders to align technical strategy with execution reality. • Translate broad product or organizational needs into practical technical plans, engineering improvements, and measurable outcomes. • Raise the technical bar through design reviews, code quality expectations, engineering rigor, and strong technical judgment. • Drive improvements in development practices, integration approaches, debugging efficiency, and delivery predictability. • Mentor and influence engineers across the organization through technical excellence, clarity, and execution. • Help the organization make sound tradeoffs across speed, quality, scalability, maintainability, and vehicle/program constraints. • Contribute to software that ultimately runs in production vehicles and supports critical customer-facing and safety-relevant functionality. Your Skills & Abilities (Required Qualifications) • B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field. • Over 10 years of hands-on software engineering experience building complex production systems. • Strong experience in embedded software development, including low-level debugging, performance analysis, and system integration. • Significant experience with Android and/or RTOS-based systems in production environments. • Strong proficiency in C++ and/or C in complex software systems. • Proven track record of driving technical outcomes across multiple teams or domains through influence, ownership, and execution. • Demonstrated ability to operate effectively in a senior technical leadership capacity, working directly with directors, senior managers, architects, and cross-functional leaders. • Strong software engineering fundamentals in system design, architecture, concurrency, debugging, performance, and maintainability. • Experience working in large-scale, cross-site, cross-functional software organizations. What Can Give You a Competitive Edge (Preferred Qualifications) • Experience in automotive, camera systems, computer vision pipelines, or safety-relevant embedded platforms. • Strong background in multi-domain systems that combine platform software, application logic, hardware-aware constraints, and vehicle integration. • Experience with software running on resource-constrained or real-time environments. • Familiarity with Android platform internals, middleware, BSP/system bring-up, or similar platform-level work. • Experience improving engineering effectiveness across organizations through better architecture, technical decision-making, tooling, development workflows, or integration practices. • M.Sc. or other advanced technical degree. Why this role matters This role is central to how we scale technical excellence in a growing and increasingly complex organization. It is an opportunity to shape both product and engineering direction, work on real systems that ship to vehicles, and have broad impact across critical camera and embedded software domains. This is the right role for someone who wants to stay deeply hands-on, operate at high scope, and lead through expertise, judgment, and execution. 



About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Non-Discrimination and Equal Employment Opportunities General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description GM Israel (Herzliya) takes a significant part in introducing sophisticated software features into car in many domains like connected cars, advanced camera technologies and research. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies that define how drivers experience safety, awareness, and confidence on the road. GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision. About the Group At the autonomous vehicles Foundational AI Research team in Israel, which is part of the GM AV AI Research organization, we are shaping next-generation autonomous driving, L3 and beyond. The AI Research organization is dedicated to advancing the state of the art in AI for autonomous vehicles. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning. About the Role As a Gen AI Staff Researcher, you will contribute deep technical expertise to a collaborative research team developing generative world models, with a focus on the design and large-scale training of diffusion models for autonomous driving. You will research and develop models that learn the dynamics of driving environments and generate realistic, temporally consistent, and controllable future scenarios, conditioned on sensor observations, actions, and scene context. You will contribute hands-on throughout the research lifecycle, from exploring new ideas to large-scale experimentation and implementation, advancing model architectures, training objectives, data strategies, and evaluation methods. As an expert member of the team, you will bring scientific rigor, share technical knowledge, and work closely with fellow researchers and partners in Perception, Behavior/Policy, Data, Simulation, and Validation to translate generative AI advances into measurable improvements in autonomy KPIs. You will also contribute high-quality publications at top-tier conferences and journals and collaborate with leading academic partners. At the GM Foundational AI Research group, your work will influence millions of drivers worldwide and define what’s next in autonomous driving. If you're passionate about solving hard problems and advancing the frontiers of generative AI and autonomous driving, we want you on our team. What will YOU do? • Contribute original research and technical expertise to generative world models, with a focus on diffusion-based modeling of driving environments and their dynamics. • Design, build, train, and evaluate large-scale diffusion models for video and multimodal generation, emphasizing temporal consistency, physical plausibility, and controllability. • Implement and optimize large-scale training on distributed, multi-GPU infrastructure, working with fellow researchers and engineering partners to improve training stability, throughput, memory efficiency, and scalability. • Develop action- and context-conditioned world models that generate diverse future scenarios and support counterfactual exploration, closed-loop simulation, and long-tail scenario coverage. • Develop and evaluate data and training strategies for fleet-scale datasets together with the team, including data curation, pretraining, fine-tuning, and targeted generation of challenging driving scenarios. • Develop and apply rigorous evaluation methods that connect generative quality, consistency, and scenario coverage to downstream KPI improvements for the autonomous driving agent. • Collaborate with engineering teams to translate state-of-the-art research into scalable solutions for simulation, synthetic data generation, and autonomy development. • Publish research at top-tier conferences and journals, track emerging advances in generative AI, and incubate technologies aimed at impacting our L3 autonomous driving technology. Your Skills & Abilities (Required Qualifications) • PhD in Computer Science, Electrical Engineering, Robotics, or a related field. Excellent M.Sc. graduates will be considered. • Over 3 years of research experience in generative AI, computer vision, machine learning, or related areas, with demonstrated depth of expertise and impactful contributions to complex research projects. • Deep expertise in diffusion models and hands-on experience designing, training, and evaluating generative models for images, video, or multimodal data. • Hands-on experience with large-scale distributed training of deep learning models, including training stability, performance optimization, and systematic experimentation. • Strong understanding of world modeling and spatiotemporal learning, including temporal consistency, conditioning mechanisms, and learning environment dynamics. • Strong publication record at top-tier AI/ML conferences and journals. • Excellent coding skills in Python and proficiency with modern AI frameworks such as PyTorch. 



About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Non-Discrimination and Equal Employment Opportunities General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description GM Israel (Herzliya) takes a significant part in introducing sophisticated software features into car in many domains like connected cars, advanced camera technologies and research. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies that define how drivers experience safety, awareness, and confidence on the road. GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision. About the Group General Motors Research Labs is an applied research center focusing on creating and evaluating innovations for future vehicles. Our researchers conduct independent technical work, while initiating and leading collaborative projects with colleagues at academia and industry globally. The Wireless Connectivity R&D group focuses on advancing both current and future connectivity technologies across cellular (4G/5G/6G), Wi-Fi, Bluetooth, UWB, and beyond. Our mission is to: • Improve real-world connectivity performance and reliability in production vehicles • Maximize customer satisfaction for connectivity-dependent applications • Explore new algorithms and system configurations across all layers of the communication stack • Contribute to future connectivity standards and architectures About the Role We are seeking a Senior Researcher - Wireless Connectivity & AI to drive innovation at the intersection of wireless communications, AI/ML, and automotive applications. This role combines deep technical expertise in wireless systems with advanced data-driven methods to unlock new capabilities and improve real-world performance beyond current limits. What will YOU do? • Analyze connectivity system performance using data collected from field deployments, lab measurements, and simulations • Benchmark performance against commercial off-the-shelf (COTS) devices and identify key performance gaps • Develop models and methodologies—leveraging AI/ML and analytical techniques—to improve connectivity robustness and user experience • Design and evaluate system-level optimizations for in-vehicle connectivity across multiple radio technologies • Influence next-generation connectivity architectures and standards with a focus on enhancing customer-facing applications • Collect, preprocess, and analyze large-scale connectivity datasets from simulations, lab measurements, and field deployments • Develop predictive models for: • Physical layer (link-level) performance • End-to-end system and network performance Your Skills & Abilities (Required Qualifications) • PhD in Electrical Engineering, Computer Science, Mathematics, Physics, or a related field • Strong background in wireless communications, including: • Physical layer and higher-layer protocols • Cellular (4G/5G) and WLAN systems • Real-world deployment considerations and KPI trade-offs • Solid foundation in: • Signal processing • Probability and statistics • Optimization • Estimation and detection theory • Information theory • Proven experience in AI/ML, including model development and evaluation • Proficiency in programming: Python, MATLAB, C/C++ • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) What Will Give You a Competitive Edge (Preferred Qualifications) • Experience in applied research and transitioning ideas into practical solutions • Background in system-level simulations or real-world measurement campaigns • Familiarity with automotive connectivity use cases and constraints • Contributions to research or standardization (publications, patents, 3GPP/IEEE involvement) Why Join Us This is a unique opportunity to work at the forefront of wireless connectivity innovation, combining AI, communications, and real-world automotive applications. You will have the ability to influence both current vehicle performance and future industry standards, while working with a highly skilled, multidisciplinary team. 



About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Non-Discrimination and Equal Employment Opportunities General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.