Senior Software Engineer, Low Latency Physical AI Sensor Systems
NVIDIAJob Title
Senior Software Engineer, Low Latency Physical AI Sensor Systems
Role Summary
Join NVIDIA's Holoscan Sensor Bridge team to design and scale low-latency pipelines that stream sensor data (camera, radar, RF, medical devices) directly into GPU memory. The role spans system software, drivers, networking, and GPU interfaces to enable real-time AI in robotics, healthcare, and industrial applications.
Experience Level
Senior — requires substantial systems experience; the posting specifies 8+ years of relevant experience.
Responsibilities
Primary responsibilities focus on building and optimizing end-to-end, low-latency sensor-to-GPU data paths and collaborating across hardware and software teams.
- Design and implement high-performance, low-latency data pipelines from sensors to GPU memory (RDMA, Ethernet, GPUDirect).
- Develop and optimize system software, device drivers, and APIs for sensor integration and streaming.
- Work across the stack: FPGA interfaces, networking protocols, Linux kernel and device drivers, CUDA and application frameworks.
- Integrate diverse sensors into the Holoscan ecosystem and maintain compatibility across platforms.
- Debug and optimize real-time distributed systems to meet strict latency and throughput targets.
- Collaborate with hardware, firmware, and AI teams to deliver end-to-end solutions and reduce sensor integration complexity.
Requirements
Must-have and preferred technical qualifications based on the role description.
Must-have:
- 8+ years of systems programming experience in C/C++ and Python and strong Linux internals knowledge.
- Deep understanding of networking (TCP/UDP, RDMA, kernel-bypass techniques, high-throughput systems).
- Experience with real-time or low-latency systems.
- Familiarity with hardware/software interfaces (PCIe, DMA, FPGA, SPI, I2C, I2S).
- Proven debugging skills across complex, multi-component systems and experience addressing performance bottlenecks.
- Hands-on experience using AI coding tools to automate development tasks and improve engineering workflows.
Nice-to-have:
- CUDA / GPU programming experience.
- Knowledge of sensor pipelines (camera, radar, RF, medical imaging, IMU sensors).
- Experience with distributed systems, edge computing, robotics, healthcare devices, or high-speed data acquisition.
- Familiarity with agentic or multi-agent AI tooling applied to engineering workflows.
Education Requirements
Degree in Computer Science, Computer Engineering, or a related field (BS or MS) or equivalent practical experience. (The posting explicitly allows equivalent experience in lieu of the degree.)
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
