Role Summary
We are looking for a senior Computer Vision / Perception expert for ADAS perception team. This role will be responsible for developing camera-based perception algorithms, building sensor fusion capabilities, and creating scalable pipelines that enable advanced driver assistance features. The candidate will act as the foundational technical leader , driving both hands-on development and team building.
Key Responsibilities
Computer Vision & Perception Development
- Design and implement perception algorithms for object detection, tracking, lane detection, drivable area segmentation, and free space estimation .
- Develop multi-sensor fusion (camera + radar + LiDAR optional) for robust perception.
- Optimize algorithms for real-time performance on automotive-grade hardware (NVIDIA, Qualcomm, Renesas, TI etc.).
- Ensure perception pipeline robustness under diverse lighting, weather, and road conditions.
System & Integration
Define perception requirements and KPIs aligned with ADAS features and NCAP regulations.Work closely with planning & control teams to ensure perception outputs meet latency and accuracy needs.Integrate with embedded software frameworks (ROS2, AUTOSAR, middleware).Collaborate with vehicle integration engineers for sensor calibration and validation.Leadership & Roadmap
Build and mentor a team of computer vision and ML engineers.Define a scalable perception roadmap (from L1 / L2 to L2+ features).Drive data collection, labeling, and dataset curation strategies.Collaborate with external partners, Tier-1 suppliers, and research labs.Required Qualifications
7–10 years of experience in computer vision for ADAS, robotics, or autonomous driving .Strong expertise in deep learning for perception (detection, segmentation, tracking).Hands-on experience with CNNs, transformers, multi-task learning (PyTorch / TensorFlow).Background in sensor calibration, camera models, and 3D geometry .Experience deploying ML models on embedded / edge hardware (TensorRT, ONNX, OpenVX).Strong programming skills in C++ and Python ; exposure to CUDA / OpenCL.Familiarity with automotive development processes (ISO 26262, ASPICE, SOTIF).Preferred / Bonus Skills
Experience with multi-sensor fusion (camera + radar / LiDAR).Familiarity with SLAM, HD maps, or localization .Prior experience in ADAS production programs (e.g., NCAP AEB, LKA).Simulation & validation experience (CARLA, IPG CarMaker, dSPACE).Exposure to active safety testing protocols (Euro NCAP, US NCAP, AIS) .Personality / Fit
Strong mix of research depth + production mindset .Comfortable with building and leading teamsHands-on, but also strategic about roadmap and scaling.Enjoys working at the interface of AI, embedded systems, and vehicle testing .Skills Required
Localization, Openvx, Deep Learning, Tensorflow, Pytorch, dspace, Python, Transformers, Aspice, Cuda, Computer Vision, iso 26262 , Opencl