Develop cutting‑edge perception algorithms for autonomous driving, utilizing computer vision techniques and sensor fusion with modalities such as Cameras, RADAR, LiDAR.
Write C++ software for motion planning and control algorithms on real‑time, embedded compute platforms.
Collaborate with multidisciplinary software engineers covering areas from AI perception & navigation to RTOS and middleware.
Architect the embedded software stack for high‑performance SoC‑based compute platforms and collaborate with SoC vendors to drive feature development and resolve issues.
Utilize modern development toolchains—testing, hardware‑in‑the‑loop (HIL) testing, simulation, and continuous integration—to enable efficient development cycles.
Engage in machine‑learning‑focused development, including data pipelines, model development, training, and iterative improvements.
Collaborate with cross‑functional teams to define requirements, set objectives, and establish project timelines for advanced perception technologies.

A degree (Bachelors, Masters, or PhD) in Mechatronics, Robotics, Computer, Electronic, Electrical Engineering, or related fields.
Experience developing perception & localization algorithms, computer vision techniques, calibration, mapping, and sensor fusion for autonomous vehicles or related applications.
Relevant experience in C++ software development and familiarity with modern coding standards (e.g., C++20) and tools & frameworks such as ROS, TensorRT, CUDA, OpenCL, OpenCV.
Experience developing innovative computer‑vision solutions for sensors such as camera, LiDAR, radar, or other robotics applications.
Experience working with prominent SoCs from manufacturers such as Qualcomm, NXP, Renesas, NVIDIA, etc., and in real‑time embedded operating systems like Linux, QNX, or similar.
Excellent interpersonal and communication skills, with the ability to collaborate effectively.

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