Computer Vision Algorithms Engineer

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. GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision.

We are looking for an Algorithm Developer to join the team. We design next-generation Surround View Systems that enhance driver awareness and safety. You will be part of a multidisciplinary team developing advanced computer vision algorithms that integrate images from multiple cameras, generate seamless panoramic views, and add virtual layers on top of the vehicle display.

Your work will directly impact scene detection, driver awareness features, and visual experience quality in cutting-edge automotive technologies.

What will YOU do?

• Design, develop, and implement computer vision algorithms in C++ for real-time surround view systems.
• Integrate multi-camera inputs to generate seamless stitched views and virtual overlays on the vehicle’s display.
• Develop and optimize algorithms for camera extrinsic calibration and SLAM
• Develop and optimize algorithms for scene detection, object understanding, and environment awareness.
• Collaborate with cross-functional teams, including software engineers, system engineers, and UX/UI teams, to deliver high-quality solutions.
• Conduct algorithm validation, performance analysis, and robustness testing on real vehicle platforms and simulation environments.
• Research and evaluate state-of-the-art techniques in computer vision and machine learning for potential integration into future products.
• Support the development of prototype features and contribute to design discussions shaping the future of automotive visualization systems.
  
  

Your Skills & Abilities (Required Qualifications)

• B.Sc. or M.Sc. in Computer Science, Electrical Engineering, Mathematics, or a related field.
• Over 8 years as algorithm developer
• Strong C++ programming skills, including modern standards (C++14/17 or newer).
• Experience in computer vision algorithm development (e.g. SLAM, image stitching, calibration, 3D reconstruction, segmentation or tracking).
• 2 years’ experience in Python development (Computer vision-based learning will be an advantage).
• Solid understanding of multi-camera systems and image processing fundamentals.
• Familiarity with linear algebra, geometry, and optimization techniques used in vision applications.
  
  

What Can Give You A Competitive Edge (Preferred Qualifications)

• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, ONNX) for vision-related tasks.
• Familiarity with ADAS / autonomous driving systems and automotive-grade software requirements.
• Hands-on experience with camera calibration, SLAM, or sensor fusion.
• Knowledge of GPU programming (CUDA / OpenCL) and real-time optimization techniques.
• Background in scene understanding and environment perception algorithms.
  
  

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

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