Senior Hardware SoC Architect

We are seeking a Senior Hardware SoC Architect to define and drive advanced runtime hardware features for power and performance.

In this role, you will work with internal customers and cross-functional teams to take new architectural features from concept through POR, implementation, and post-silicon enablement.

NVIDIA is developing processor and system architectures that accelerate machine learning and high-performance computing applications.

Responsibilities:

• Hardware architecture end-to-end lifecycle ownership
• Drive Architecture/Software/Hardware co-design and collaboration on features set
• Drive the development of predictive and adaptive hardware for improved performance and power
• Perform performance, perf @ watt, perf / sq. mm modeling or analysis and track through design
• Hardware specification authoring, review, and architectural model development
• Architectural validation plan and execution
• Review downstream specifications and verification plans in ASIC, software and/or platform to ensure requirements are followed
• Post-Silicon production support with silicon debug and publishing of customer documentation
• Industry standards tracking & 3rd party IP technical evaluation
• Patenting novel parts of system architecture

Requirements:

• Bachelors, Masters or PhD degree in Computer Engineering, Electrical Engineering (or equivalent experience)
• 12+ years of architecture, design and/or verification experience
• Proven experience driving architectural features from concept, definition, and modeling through implementation and productization
• Strong system level thinking, with the ability to translate architectural ideas into practical hardware features
• Meaningful industry expertise in SoC architecture definition
• Comfortable communicating and solving issues at all levels of architecture definition
• Excellent analytical, written, and verbal interpersonal skills and ability to work as part of a team

Preferred Qualifications:

• Deep understanding of power and performance modeling knowledge and experience
• Experience translating AI/ML or heuristic algorithms into practical hardware features for prediction, control, power management, or performance optimization
• Experience defining predictive or adaptive hardware features for runtime decision-making
• Experience in power management architecture and runtime power-control features
• Experience working with data scientists to turn models into deployable hardware solutions under power, area, and latency constraints
• Inventions in one or more domains relevant to SoC architecture