Job description

At NVIDIA, we’re redefining how machines perceive and interact with the world. The Holoscan Sensor Bridge (HSB) is at the heart of this transformation—streaming massive volumes of sensor data (cameras, radar, RF, medical devices) directly into GPU memory with low latency to enable real-time AI. Modern AI is no longer just about models — it's about getting real-world data into those models fast enough to matter. Holoscan Sensor Bridge enables real-time signal processing with microsecond-level latency, direct streaming of sensor data into GPU memory, and scalable, software-defined sensor integration across industries. Your work will directly shape the future of surgical robotics, autonomous systems, industrial automation, and next-generation scientific instrumentation. This is where cutting-edge hardware meets real-world impact at scale. We’re looking for a Senior Systems Software Engineer to help architect and scale the software backbone that connects the physical world to accelerated computing.This is not just a systems role—this is where hardware, networking, and GPU computing converge to power the next generation of robotics, healthcare devices, and industrial AI systems. 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 What we need to see: • 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 With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and talented people in the world working for us. If you're creative and passionate about developing cloud services we want to hear from you! 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. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 28, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements

Must-haves

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
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.
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
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 28, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

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aipython

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