Senior Algorithm Developer – Computer Vision & Surround View Systems

We are looking for a talented and motivated Algorithm Developer to join GM Vehicle Engineering Center where 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 Youll 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 vehicles 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.

What Were Looking For - Must-Have Qualifications

• . Computer Science Electrical Engineering Mathematics or a related field.
• Over 8 years as algorithm developer
• Strong C programming skills including modern standards (C14/17 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 (Pandas Numpy or equivalent. 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.
• Experience working in Linux development environments.
• Ability to work independently and as part of a collaborative fast-paced team.

Its an advantage if you have:

• 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.