Senior Software Engineer, Low Latency Physical AI Sensor Systems
Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Software Development @ 4
Linux @ 7
Python @ 7
Distributed Systems @ 4
Networking @ 4
Debugging @ 4
API @ 4
CUDA @ 4
GPU @ 4
Codex @ 4
AI @ 4
Robotics @ 4
Agentic AI @ 3
Data Pipelines @ 4
- 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.
Details
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. This role focuses on architecting and scaling the software backbone that connects the physical world to accelerated computing — where hardware, networking, and GPU computing converge to power robotics, healthcare devices, industrial automation, and scientific instrumentation.
Responsibilities
- 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 bottlenecks
- 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
- 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
Compensation & Benefits
- Base salary ranges by level:
- Level 4: 184,000 USD - 287,500 USD
- Level 5: 224,000 USD - 356,500 USD
- Eligible for equity and benefits (link to NVIDIA benefits referenced in posting)
Applications for this job will be accepted at least until July 6, 2026. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.