• Bachelor’s/master’s degree in computer science, Information Technology
• 5+ years building high performance inference systems or embedded ML runtimes.
Technical Knowledge
• Strong C++17/20, Python, CUDA programming skills.
• Solid understanding of concurrency, memory, and low latency I/O.
• Hands-on experience with edge/automotive SoCs (NVIDIA Orin/Xavier, TI TDA4, Qualcomm SA8xxx, NXP S32, Renesas R-Car).
• Experience integrating inference with ROS2, or sensor frameworks.
• Experience integrating ML runtimes into SIL/HIL environments and automated test pipelines (Jenkins/GitLab CI).
• Deep understanding of ADAS perception and real-time constraints.
• Understanding of camera, radar, LiDAR data flows and synchronization in ADAS stacks.
• Strong debugging and profiling skills.