Distinguished Engineer - Data Center System Software Architect

New Today

NVIDIA data center systems, such as DGX and HGX, have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We're looking for a strong technical architect to own the end-to-end architecture of these products, at the system software level.
Read on to find out what you will need to succeed in this position, including skills, qualifications, and experience. You will work with component leads internally and engage with industry leading cloud service providers on taking these products to market. Serve as the primary technical point of contact for major customers, leading technological discussions, defining KPIs, gathering requirements, and addressing complex technical queries. As a system software architect, lead technical innovation and strategic collaborations with major hyperscalers to architect next-generation data center products. Align NVIDIA's roadmap with major customers' requirements through direct engagement. Make critical technical decisions in ambiguous situations, mitigating risks through left-shift strategies.
Extensive experience with complex system software for accelerators (GPUs, DPUs, FPGAs). ~ Mastery of system firmware (SBIOS, OpenBMC), embedded systems, and Linux kernel internals. ~ Extensive knowledge of networking technologies and protocols, including TCP/IP, Ethernet, InfiniBand, as well as advanced switching and routing concepts ~ Experience collaborating with platform security experts to define tradeoffs between security and ease of use. ~ Demonstrated success in leading complex, cross-functional projects to completion, showcasing the ability to influence and achieve results without direct authority in large-scale, collaborative environments. Demonstrable experience in implementing left shift strategy to de-risk program execution. ~ BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience). ~Knowledge of cloud and cluster level deployment and management systems. Familiarity with NVIDIA HPC programming models and libraries (CUDA, cuDNN, DOCA) NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA's invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. 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.
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Location:
Santa Clara, CA
Salary:
$308,000

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