Nvidia Senior Software Engineer – Holoscan Sensor AI Platform 

United States, California 

976254964

What You’ll Be Doing:

• 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.

What We Need to See:

• 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.

• 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.

• 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.

• Hands-on expertise with CUDA C/C++ and deep knowledge of parallel programming paradigms.

Ways to Stand Out from the crowd:

• 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).

• Experience with modern graphics APIs like OpenGL, Vulkan, or DirectX, and their integration into real-time systems.

• Track record of open-source contributions in imaging, vision, or HPC frameworks.

• Curiosity and drive to apply Holoscan across new frontiers – from robotic autonomy to space exploration.