**Job Description** **GM Israel** takes a significant part in introducing software 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. GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision. At GM’s **Camera Viewing Group** , our Algo team develops and deploys cutting-edge neural networks optimized for automotive edge devices. Our work spans both in-vehicle applications (e.g., cabin monitoring, driver/passenger safety) and out-of-vehicle perception (e.g., object detection). We are looking for a ML Engineer to drive innovation from research and prototyping in Python all the way to deployment on automotive edge hardware. **Key Responsibilities** + Design and implement advanced NN architectures for scene understanding tasks such as object detection, segmentation, and classification. + Train, fine-tune, and validate models on large-scale, real-world datasets to ensure robustness in diverse driving scenarios. + Optimize models for edge devices through techniques such as quantization, pruning, distillation, and hardware-aware training—balancing latency, memory, and power constraints. + Compile, deploy, and test NNs on automotive NN acceleration hardware platforms. + Collaborate closely with software and systems teams to allow seamless integration into the vehicle software pipeline. + Stay current with research trends in computer vision and efficient deep learning and help translate them into production-ready solutions. **Additional Job Description** **Required Qualifications** + Bachelor's or advanced degreein Computer Science. + Background in machine Learning. + Proven experience in designing, training, and evaluating deep NN models using PyTorch or equivalent frameworks. + Hands-on experience with model compression, quantization, and deployment for resource-constrained devices. + Strong proficiency in Python and C++, with experience in edge or embedded computing. + Excellent communication and teamwork skills, with a strong motivation to work in a collaborative environment. **What will make you stand out in the crowd** + M.Sc./Ph.D. in computer science + Background in computer vision + Experience in transferring neural networks into embedded environment + Experience in the automotive industry **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 (https://search-careers.gm.com/en/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 (Careers.Accommodations@GM.com) us or call us at 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. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (https://search-careers.gm.com/en/working-at-gm/)** **Our Culture** **How we hire​​​​​​​ (https://search-careers.gm.com/en/how-we-hire/)** Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (https://search-careers.gm.com/en/locations/) The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and 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 at Careers.Accommodations@GM.com .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.