We are looking for a highly motivated power architect to lead the development of a power estimation and analysis platform that influences architecture and product decisions. This position combines software development, system architecture, performance modeling, and silicon analysis. The ideal candidate will possess strong software engineering skills and a keen interest in power consumption and performance of modern SoCs. You will work closely with various teams to create tools that provide insights into power-performance behavior and architectural trade-offs.

• A Masters in Computer Engineering, Electrical Engineering, Computer Science, or a related STEM field—or equivalent experience.
• 6 years of relevant work experience.
• Strong software development skills in Python, C++, or similar languages.
• Understanding of computer or SoC architecture, including processors, memory systems, interconnects, accelerators, and power-management concepts.
• Experience with power and performance estimation, performance modeling, architectural exploration, or system-level analysis.
• Ability to evaluate architecture trade-offs using metrics such as performance per watt, energy per task, utilization, latency, throughput, and bandwidth.
• Experience modeling workloads or analyzing how workload characteristics affect system power and performance.
• Familiarity with silicon telemetry, performance-monitoring counters, power sensors, traces, logs, or lab measurement data.
• Strong data-analysis and debugging skills.
• Experience designing maintainable software with clear interfaces, automated testing, documentation, and reproducible workflows.
• Demonstrated ability to take ownership of an ambiguous technical area and drive it from requirements through implementation and adoption.
• Excellent communication and collaboration skills.

• Own the architecture, development, validation, and long-term roadmap of power estimation and analysis tools.
• Develop scalable, maintainable software for estimating and analyzing power and performance across workloads.
• Build models that translate architectural parameters, workload behavior, utilization, and telemetry into actionable insights.
• Enable rapid analysis of architectural trade-offs, including performance, power, energy efficiency, and thermals.
• Develop workload models and representative usage scenarios for early architecture exploration.
• Integrate silicon telemetry, performance counters, power measurements, and simulation data into a unified analysis framework.
• Correlate pre-silicon estimates with post-silicon measurements and improve prediction accuracy.
• Create automation, visualization, and reporting capabilities for complex analysis.
• Partner with various teams to define requirements and drive technical decisions.
• Establish sound software-engineering practices, including modular design and code reviews.
• Serve as the technical owner and subject-matter expert for the tool.

• 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.