Senior Software Engineer, Low Latency Physical AI Sensor Systems

At NVIDIA, we’re redefining how machines perceive and interact with the world. The Holoscan Sensor Bridge (HSB) streams massive volumes of sensor data (cameras, radar, RF, medical devices) directly into GPU memory with low latency to enable real‑time AI. Modern AI is no longer just about models — it’s about getting real‑world data into those models fast enough to matter. Holoscan Sensor Bridge enables real‑time signal processing with microsecond‐level latency, direct streaming of sensor data into GPU memory, and scalable, software‑defined sensor integration across industries.

Your work will directly shape the future of surgical robotics, autonomous systems, industrial automation, and next‑generation scientific instrumentation.

• Design and build high‑performance, low‑latency data pipelines from sensors to GPU memory (RDMA, Ethernet, GPUDirect)
• Develop and optimize system software, drivers, and APIs for sensor integration and streaming
• Work across the stack—from FPGA interfaces and networking protocols to CUDA and application frameworks
• Enable seamless integration of diverse sensors into the Holoscan ecosystem
• Debug and optimize real‑time distributed systems under strict latency and throughput constraints
• Collaborate with hardware, firmware, and AI teams to deliver end‑to‑end solutions
• Contribute to a platform that reduces sensor integration complexity by orders of magnitude

• A degree in Computer Science, Computer Engineering, or a related field (BS or MS) or equivalent experience
• 8+ years of experience in systems programming (C/C++/Python) and Linux internals
• Deep understanding of networking (TCP/UDP, RDMA, kernel bypass, high‑throughput systems)
• Experience with real‑time operating systems or low‑latency systems
• Familiarity with hardware/software interfaces (PCIe, DMA, FPGA, SPI, I2C, I2S)
• Solid debugging skills across complex, multi‑component systems
• Experience working close to hardware and performance bottleneck
• Solid understanding and hands‑on experience with AI coding tools such as Claude, Codex and Cursor, including automating software development lifecycle activities

• Experience with CUDA / GPU programming
• Knowledge of sensor pipelines (camera, radar, RF, medical imaging, IMU sensors)
• Exposure to distributed systems or edge computing platforms
• Background in robotics, healthcare devices, or high‑speed data acquisition
• Familiarity with agentic AI tooling, and experience applying multi‑agent systems to engineering workflows

Base salary ranges are $184,000 – $287,500 for Level4 and $224,000 – $356,500 for Level
5. Eligible for equity and a generous benefits package.

Applications for this job will be accepted until July6,2026.

NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.