NVIDIA is building the future of real-time AI for sensor-driven applications with its Holoscan Platform, an open-source solution for sensor AI. The platform enables developers to build, optimize, and deploy GPU-accelerated solutions for real-time processing of multimodal sensor data, expanding from healthcare imaging to diverse industries like robotics, industrial automation, astronomy, and earth observation.
Requirements
- Proven success in designing APIs and frameworks that developers love to use and that stand the test of scale.
- Strong programming expertise in C++ (modern standards), combined with solid Python development skills for prototyping and tooling.
- 8+ years of experience building and shipping complex, high-performance imaging or sensor-processing software.
- Ability to profile, analyze, and optimize performance bottlenecks at both software and hardware levels.
- Hands-on expertise with CUDA C/C++ and deep knowledge of parallel programming paradigms.
- Knowledge of GPU architecture internals and proven skill in squeezing performance out of hardware.
- Background in low-latency streaming pipelines for multimodal sensor fusion (video, audio, depth, medical, or robotics sensors).
Responsibilities
- Architect the future of Holoscan SDK by designing intuitive, scalable APIs for real-time sensor, image, and multimodal data processing – balancing developer usability with peak GPU performance.
- Prototype innovative GPU-accelerated algorithms for computer vision, imaging, and sensor fusion – translating research into production-grade software.
- Build and optimize core libraries for accelerated I/O, streaming, encoding/decoding, and large-scale data handling across diverse domains like healthcare, robotics, industrial automation, and astronomy.
- Benchmark performance rigorously, profiling and optimizing against powerful frameworks and research results.
- Collaborate with world-class teams inside and outside NVIDIA – from robotics researchers to medical device makers – ensuring Holoscan seamlessly integrates into varied platforms.
- Influence product strategy by contributing technical insights that shape roadmap decisions, set performance goals, and define standards for real-time AI systems.
- Mentor and elevate the team, guiding peers and junior engineers in API design, GPU programming, and large-scale system development.
Other
- Advanced degree (Master’s/PhD) or equivalent experience in Computer Science, Applied Math, Electrical Engineering, or related fields.
- Deep passion for computer vision, real-time AI, and sensor driven systems, with an ability for translating research into practical, high-performance solutions.
- Strong communicator and collaborative problem-solver, able to work across multiple technical domains and partner with both researchers and product teams.
- A perspective of technical leadership: proactive in seeing opportunities, setting high standards, and mentoring teammates.
- Applications for this job will be accepted at least until September 14, 2025.
