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
- 710 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 teams
- Hands-on, but also strategic about roadmap and scaling.
- Enjoys working at the interface of AI, embedded systems, and vehicle testing.
