Senior Software Engineer, Low Latency Physical Ai Sensor Systems

at Nvidia

USD 184,000-356,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 API Agentic AI @ 3 CUDA @ 4 Codex @ 4 Data Pipelines Debugging @ 6 Distributed Systems GPU @ 4 Linux @ 7 Networking @ 7 Python @ 7 Robotics Software Development @ 4

Details

What you’ll be doing

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 and Contribute to a platform that reduces sensor integration complexity by orders of magnitude

Requirements

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.

Ways to stand out from the crowd

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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.