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Medium: strong Tier-1 brand and metro location increase applicant density despite niche robotics specialization.
High: role requires specialized robotics, embedded, and accelerator expertise limiting transferability.
High: explicit 5+ years plus many mandatory niche hardware, embedded, and robotics skills.
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Research and optimize robotics algorithms for NVIDIA's Programmable Vision Accelerator (PVA) focusing on latency, throughput, and power efficiency in real-time systems.
Design, implement, and integrate PVA accelerated operators into end-to-end robotics pipelines across multiple sensor and actuator domains including camera, RADAR, LiDAR, perception, and planning.
Collaborate with cross-functional teams to define acceleration strategies, build benchmarking and validation infrastructure, and support robotics software adoption of PVA acceleration.
Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Electrical Engineering, Computer Engineering, or equivalent experience.
5+ years experience in robotics software, embedded systems, accelerated computing, computer vision, sensor processing, perception, or related fields.
Strong C/C++ programming skills with low-level debugging, performance profiling, and production-quality software development experience.
Experience with embedded systems architecture, heterogeneous hardware acceleration mapping, and embedded Linux or QNX development environments.
Experienced in robotics algorithms covering perception, sensor fusion, planning, control, and actuator systems with practical system integration knowledge.
Operating effectively at the intersection of robotics, embedded systems, and accelerated computing in fast-paced, multi-disciplinary environments.
Familiar with NVIDIA platforms (Jetson, DRIVE, IGX) or equivalent robotics acceleration hardware and real-time robotics software stacks.