Senior Software Engineer, Low Latency Physical AI Sensor Systems

What you'll do

• Design and build high-performance, low-latency data pipelines from sensors to GPU memory.
• 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.
• Contribute to a platform that reduces sensor integration complexity for robotics and industrial AI.

What we're looking for

• 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 including TCP/UDP, RDMA, kernel bypass, and high-throughput systems.
• Experience with real-time operating systems or low-latency systems.
• Familiarity with hardware/software interfaces such as PCIe, DMA, FPGA, SPI, I2C, and I2S.
• Solid debugging skills across complex, multi-component systems and experience working close to hardware performance bottlenecks.
• Hands-on experience with AI coding tools like Claude, Codex, and Cursor to automate software development lifecycle activities.
• Experience with CUDA/GPU programming, sensor pipelines, distributed systems, or robotics backgrounds (preferred).