Senior Software Engineer, Low Latency Physical AI Sensor Systems

Role responsibilities

Design and build high-performance, low-latency data pipelines to stream sensor data directly into GPU memory. Develop system software, drivers, and APIs to integrate diverse sensors into the Holoscan ecosystem for robotics and healthcare.

Requirements

Requires a degree in Computer Science or Engineering with 8+ years of experience in systems programming and Linux internals. Candidates must have deep knowledge of networking, hardware/software interfaces, and experience with AI coding tools.

Key skills

C++, Python, Linux Internals, RDMA, CUDA, TCP/UDP, PCIe, DMA, FPGA, Real-time Operating Systems, GPU Programming, Low-latency Systems, Kernel Bypass, AI Coding Tools, Distributed Systems, Sensor Integration

Keywords

Low Latency, Physical AI, Sensor Systems, Holoscan Sensor Bridge, GPU Memory, RDMA, Ethernet, GPUDirect, FPGA, CUDA, TCP/UDP, Kernel Bypass, PCIe, DMA, SPI, I2C, I2S, Real-time Operating Systems, Surgical Robotics, Autonomous Systems, Industrial Automation, Edge Computing, Claude, Codex, Cursor, Agentic AI, Multi-agent Systems, C++, Python, Linux