NVIDIA Corporation

Senior Power Architect, Power and Performance Analysis Tools

NVIDIA Corporation$184K — $356K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or equivalent experience
  • 6 years of relevant work experience
  • Strong software development skills in Python, C++, or similar languages
  • Understanding of SoC architecture including processors and memory systems
  • Experience with power and performance estimation and system-level analysis
  • Strong data-analysis and debugging skills
  • Ability to take ownership of ambiguous technical areas effectively.

Responsibilities

  • Own architecture and development of power estimation tools
  • Develop scalable software for power and performance analysis
  • Build models translating architectural parameters into insights
  • Enable rapid analysis of architectural trade-offs
  • Develop workload models for early architecture exploration
  • Integrate telemetry and performance data into analysis frameworks
  • Correlate pre-silicon estimates with post-silicon measurements
  • Create automation and visualization capabilities for analysis
  • Partner with cross-functional teams to define requirements
  • Establish sound software practices for development and maintenance.

Benefits

  • Equity participation
  • Comprehensive healthcare options
  • Flexible work arrangements
  • Professional development opportunities
  • Generous paid time off and holidays.
Full Job Description
We are seeking a highly motivated power architect to own and advance a critical power estimation and analysis platform used to guide architecture and product decisions. This role sits at the intersection of software development, system architecture, performance modeling, and silicon analysis.

You will develop the tools and methodologies that help architects understand power-performance behavior, evaluate performance-per-watt trade-offs, model representative workloads, and correlate early estimates with silicon telemetry. The ideal candidate combines strong software engineering fundamentals with a deep curiosity about how modern SoCs consume power and deliver performance.

What you'll be doing:
  • Own the architecture, development, validation, and long-term roadmap of our power estimation and analysis tools.
  • Develop scalable, maintainable software for estimating and analyzing power and performance across workloads, use cases, and product configurations.
  • Build models that translate architectural parameters, workload behavior, utilization, and telemetry into actionable power-performance insights.
  • Enable rapid analysis of architectural trade-offs, including performance, power, energy efficiency, thermals, and performance per watt.
  • Develop workload models and representative usage scenarios for early architecture exploration and product analysis.
  • Integrate silicon telemetry, performance counters, power measurements, and simulation data into a unified analysis framework.
  • Correlate pre-silicon estimates with post-silicon measurements, identify modeling gaps, and continuously improve prediction accuracy.
  • Create automation, visualization, and reporting capabilities that make complex analysis accessible to architects and engineering teams.
  • Partner with architecture, performance, power, thermal, firmware, validation, and silicon teams to define requirements and drive technical decisions.
  • Establish sound software-engineering practices, including modular design, code reviews, testing, documentation, version control, and release management.
  • Serve as the technical owner and subject-matter expert for the tool, supporting users while growing a community of contributors.


What we need to see:
  • 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, with experience building production-quality engineering tools.
  • 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, including the ability to correlate results from multiple sources and explain unexpected behavior.
  • 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, with the ability to translate complex technical findings into clear recommendations.


Ways to stand out from the crowd:
  • Experience developing power or performance models for complex SoCs, CPUs, GPUs, AI accelerators, or automotive platforms.
  • Knowledge of dynamic power management, DVFS, clock and power gating, thermal management, idle states, and workload-driven resource management.
  • Familiarity with statistical modeling, machine learning, optimization, or sensitivity analysis applied to power-performance prediction.
  • A track record of turning prototype scripts into reliable, widely adopted engineering platforms.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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