Accelerated Compute Systems Resiliency Architect
Santa Clara, CA
We are now looking for a Compute Resiliency 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. We are now seeking a Compute Resiliency Architect to support the development of GPU (graphical processing units) hardware and software resiliency 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 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 hardware and software teams to architect new resiliency and safety features and guide future development.
Optimize hardware and software features to improve system robustness, performance, and security.
Develop safety-critical software components 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:
Masters 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++.
Understanding of the software development life cycle, from requirements to testing closure and maintenance.
Excellent interpersonal skills and ability to collaborate with on-site and remote teams.
Strong debugging and analytical skills.
Ways to stand out from the crowd:
Familiarity with general HW concepts.
Experience in embedded software development.
Experience with resiliency and functional safety.
Background with security risk analysis.
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.The base salary range is $144,000 - $270,250. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.