Design, build, and improve production-quality systems for world models, simulation, rendering, and real-time inference from prototype through release.
- 8+ years experience
- Degree or equivalent experience
- Apply on company site
- Benefits
- Equity
Design, build, and improve production-quality systems for world models, simulation, rendering, and real-time inference from prototype through release.
Architect, design, develop, and debug system software for NVIDIA Halos OS across QNX, Linux, and hypervisor-based environments. Design and develop BSP, boot, driver, device-management, networking, diagnostics and platform software for NVIDIA SoCs and edge AI platforms.
Architect, design, develop, and debug system software for NVIDIA Halos OS across QNX, Linux, and hypervisor-based environments. Design and develop BSP, boot, driver, device-management, diagnostics, and platform software for NVIDIA SoCs and edge AI platforms.
Provide technical mentorship to partners and customers on gigawatt-scale networking infrastructure deployments. Guide customer journey from design to build to production and post production stabilization.
Develop and improve the technical design, architecture, and roadmap for 3D obstacle perception to support end-to-end autonomous driving functionalities, leveraging state-of-the-art CNN and transformer-based architectures where appropriate.
You'll get involved with making key architectural decisions that will have a lasting impact on our software. In this role you'll have the exciting opportunity to figure out how to intersect the GPU and Linux kernel roadmaps to ensure NVIDIA's future success! .
You will compose and build the architecture behind next-generation self-driving vehicle technology. Work on Prediction, Decision, Planning and Control architecture. Have exposure to Classical safety stack. Build robust system-level safety and fallback strategies.
Understand, analyze, profile, and optimize AI training workloads on state-of-the-art hardware and software platforms. Identifying performance bottlenecks of AI training on GPUs, prioritizing and then solving problems across the key AI training workloads.
Work as a team to build reliable, scalable and high performance software that are easy to use by hundreds of engineers worldwide. Working on backend and frontend design and development of web applications.
Collaborating closely with customers to maximize GPU utilization and end-to-end workload throughput while improving infrastructure reliability and reducing infrastructure costs.
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