ADAS Computer Vision Engineer

Role Summary

foundational technical leader

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

  .