NVIDIA is seeking a highly experienced professional to shape GPU architectures that enhance product yield while ensuring performance and simplicity. The role involves analyzing manufacturing defects and developing methods to isolate affected regions. Candidates will build software tools and models to capture architectural requirements and develop optimization techniques for large configuration spaces. This position offers the opportunity to work in a diverse and innovative environment focused on the future of computing.

• BS, MS, or PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related field, or equivalent experience.
• 10+ years of experience in GPU, CPU, SoC, or complex processor architecture.
• Strong understanding of GPU architecture and execution pipeline interactions.
• Proficiency in C++ and/or Python with experience in building architectural models or optimization frameworks.
• Ability to translate architecture and product requirements into executable analysis.

• Shape GPU architectures to improve product yield while maintaining performance.
• Analyze the impact of manufacturing defects on architectural resources.
• Develop software tools and models to capture architectural and performance requirements.
• Create efficient optimization techniques for exploring product configurations.
• Evaluate yield, performance, area, and complexity to influence production decisions.

• Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.