Job Description

divh2Holoscan Software Engineer/h2pAt NVIDIA, we are building the future of real-time AI for sensor-driven applications. Holoscan Platform is our flagship open-source framework for sensor AI, enabling developers to build, optimize, and deploy GPU-accelerated pipelines that process multimodal sensor data in real time. Originally pioneered for healthcare imaging, Holoscan has rapidly evolved into a domain-agnostic platform powering diverse industries-from humanoid robotics and industrial automation to astronomy, earth observation, and beyond. Wherever high-throughput sensor processing, AI inference, and visualization meet, Holoscan provides the foundation. The field of streaming AI and accelerated sensor processing is reshaping how humans interact with machines and how machines perceive the world. By combining advanced GPU computing, Vulkan-based rendering, and flexible software frameworks, Holoscan makes it possible to transform raw, high-bandwidth sensor streams into actionable intelligence and immersive visualization-spanning surgery, robotics, manufacturing, and scientific discovery./ppGenerative AI is becoming a central force in real-time sensing, simulation, and robotics - and this role will play a pivotal part in bringing those capabilities into Holoscan. Emerging multimodal foundation models (VLMs, video-language models, neural fields) are becoming essential for real-time perception. This role will extend Holoscans core mission by enabling GPU-resident generative methods that accelerate development, improve simulation fidelity, and unlock new possibilities for real-time perception. As part of this groundbreaking Holoscan SDK team is at the forefront of this transformation! We are designing APIs, building GPU-accelerated software pipelines, and collaborating with research and industry partners to deliver the foundation for tomorrows real-time AI platforms./ph3What Youll Be Doing:/h3ulliArchitect the next generation of Holoscan SDK by developing intuitive, scalable APIs for real-time sensor, imaging, and multimodal data processingbalancing developer usability with peak GPU performance./liliPrototype GPU-accelerated algorithms for computer vision, imaging, sensor fusion, and low-latency rendering-translating research into production-grade software./liliBuild and optimize core GPU libraries for accelerated I/O, streaming, decoding, and visualization, employing CUDA, Vulkan, and GPU-resident data paths./liliContribute to real-time visualization frameworks for medical, robotic, or industrial applications-integrating Vulkan, OpenGL, or Omniverse/RTX-based rendering back-ends./liliBenchmark performance rigorously, profiling and optimizing across the full pipeline (Sensor ? AI ? Render ? Display, Sensor ? AI ? Robotic Control)./liliCombine generative models with the Holoscan Sensor Bridge (HSB), Isaac Sim, ISAAC Lab and Omniverse to create real-time AI-powered virtual sensors that behave like real hardwareenabling development and testing long before physical sensors exist./liliPrototype and optimize neural field (NeRF/SDF/Gaussian) operators for real-time scene reconstruction, view synthesis, and 3D perceptiondirectly within Holoscans streaming architecture./liliIntegrate and optimize vision-language and multimodal foundation models for real-time, GPU-resident sensor pipelines/li/ulh3What We Need To See:/h3ulliA strong communicator and collaborator able to work across multiple domains-from AI and compute to graphics and visualization./liliDynamic programming expertise in C++ (modern standards), plus proven Python skills for prototyping and tooling./liliDeep passion for real-time AI, computer vision, and sensor-driven systems-plus a passion for high-performance visualization and rendering./liliFamiliarity with multimodal or vision-language models and an understanding of how to adapt them to streaming or real-time workloads is a strong plus./liliSuccess designing APIs and frameworks that stand the test of scale and that developers love to use!/lili8+ years of experience building and shipping complex, high-performance imaging, sensor, or rendering software./liliFamiliarity with GPU processing and rendering pipelines, synchronization, GPU memory management, and multi-GPU rendering is a plus./liliMasters/PhD or equivalent experience in Computer Science, Applied Math, Electrical or Computer Engineering, or related fields./li/ulh3Ways To Stand Out From The Crowd:/h3ulliExperience adapting VLMs or multimodal foundation models to real-time sensor or video pipelines./liliBackground integrating real-time GPU-accelerated processing and visualization pipelines (e.g., CUDA ? Vulkan interop)/liliHands-on expertise with CUDA C/C++ and deep knowledge of GPU architecture and parallel programming paradigms./liliKnowledge of Omniverse Kit, or other GPU rendering frameworks for real-time visualization./liliAcute understanding of low-latency streaming pipelines for multimodal sensor fusion/li/ulpYour 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./ppApplications for this job will be accepted at least until December 12, 2025. NVIDIA is committed to fostering a diverse 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./p/div

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