Senior Resiliency and Safety Architect

We are now seeking a Senior Resiliency and Safety Architect!

NVIDIA is a learning machine that constantly evolves by seeking exciting opportunities that matter to the world, and that only we can solve. We attract the world’s best people, so we can achieve our highest aim: building a company that lets us do our life’s work, at the highest level of our craft. NVIDIA is looking for a Resiliency and Safety Architect to support the development of GPU (graphical processing units) and Tegra SoC hardware and software resiliency and safety features. In this role, you will be a key member of a team of innovators, challenging the status quo and pushing beyond boundaries. You will have the opportunity to impact the industry's leading GPUs and SoCs impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence.

What you'll be doing:

• Collaborate with the Software and Hardware teams to architect new safety and resiliency features and guide future development.

• Optimize hardware & software features to improve system robustness, performance, and security.

• Model and analyze RAS metrics like Failures in Time and Availability; and Safety metrics like Diagnostic Coverage and PMHF

• Run simulations to analyze Architectural Vulnerability Factor and Liveness of on-die memory

• Develop diagnostics software components for Resiliency and Safety to run on NVIDIA GPUs.

• Participate in testing new and existing resiliency and safety hardware and software features.

• Work on compliance of products with functional safety standards (ISO 26262 and ASPICE (Automotive SPICE)). This includes defining requirements, architecture, and design with end-to-end traceability, performing safety analyses - FMEA/DFA/FTA and ensuring compliance of software to MISRA and Cert-C standards.

What we need to see:

• Master’s or PhD degree in Computer Science, Computer Engineering, Electrical Engineering or closely related degree or equivalent experience.

• At least 5+ years of relevant experience.

• Familiarity with computer system architecture, microprocessors, and microcontroller fundamentals (caches, buses, direct memory access, etc.).

• Proficiency in C/C++.

• Scripting and automation with Python or similar.

• Understanding of the software development process, from requirements to testing closure and maintenance.

• Experience with resiliency and/or functional safety.

• Excellent interpersonal skills and ability to collaborate with on-site and remote teams.

• Strong debugging and analytical skills.

• Be self-driven and results oriented.

Ways to stand out from the crowd:

• Familiarity with general HW concepts, Verilog RTL coding and simulations/debug, GPU and SOC Architectures, and Machine Learning/Deep Learning concepts

• Programming with CUDA

• Experience in embedded software development.

NVIDIA’s invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — 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”. Do you love the challenge of crafting the highest-performance silicon possible? If so, we want to hear from you! Come, join our Accelerated and Resilient Compute Systems team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.