The role involves leading the rebuild of NVIDIA's toolchain around AI within the Silicon Co-Design Group. This team focuses on optimizing silicon productization processes, integrating AI to enhance simulation and configuration engines. The engineer will work on translating chip behavior into firmware-ready contracts and developing systems that ensure product quality. Mentorship and setting the AI direction for the team are also key aspects of this position.

• BS or MS in EE/CE/CS or equivalent experience with 8+ years in silicon bringup, firmware, or productization engineering.
• Experience deploying multiple production Python services and data pipelines, including at least one LLM-backed system.
• Ability to read silicon characterization outputs and understand the tradeoffs between speed, power, voltage noise, or binning.
• Familiarity with new AI tooling and the ability to evaluate it within a week of release.

• Help simulate power controller interplay, voltage-frequency operating points, and binning yields.
• Turn understanding of silicon and firmware behavior into context engineering.
• Integrate silicon productization tools into a custom agent harness.
• Lead eval-driven development for applied AI in production, focusing on error analysis and automated scoring.
• Mentor and grow the engineers around you while setting the team's AI direction.

• 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.