The Senior System–Manufacturing Co-Design Engineer at NVIDIA will work within the Silicon Codesign Group, focusing on designing systems and silicon features that enhance power, performance, thermal efficiency, and manufacturability. This role bridges architecture and manufacturing, requiring strong systems thinking and the ability to apply AI tools effectively. The team is dedicated to evolving an AI-enabled engineering environment, emphasizing collaboration and innovation. Candidates will play a crucial role in translating product intent into scalable, testable performance.

• Master's degree or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or a related field.
• 8+ years of experience in system architecture, silicon performance, manufacturing co-design, or post-silicon validation.
• Deep understanding of DVFS, binning, power/thermal management, and performance trade-offs in advanced GPUs or SoCs.
• Ability to reason across circuit behavior, system constraints, and manufacturing realities.
• Comfort with hands-on lab work as well as abstract architectural reasoning.
• Strong scripting and analysis skills in languages such as Python or Perl for automation and data-driven decision making.
• Clear technical communication skills and the ability to document and defend engineering decisions.

• Architect system and silicon features to enhance performance, power efficiency, and thermal behavior.
• Drive improvements in V/F curves, Vmin, TGP, speed grading, and thermal envelopes through co-design.
• Design chip, system, and package-aware features that enhance testability, coverage, and yield.
• Define manufacturing-aware methodologies linking test, SRAM behavior, binning, and package constraints to product performance.
• Co-design test strategies and screening methods to reduce overkill, test time, and miscorrelation.
• Operate across the full lifecycle from system architecture and pre-silicon strategy to post-silicon success.
• Translate ambiguous product requirements into executable architectures and validation plans.
• Leverage AI tools to accelerate engineering work while applying strong judgment on when to trust, verify, or override outputs.

• 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.