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Nvidia

Senior GPU Memory Architect

Seattle, WA

Ideal candidates will have a strong track record of understanding and analyzing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm). A broad ...

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How much do perf jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for perf in the United States is $16.35, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $16.35 per hour, depending on experience, location, and employer.

What is the difference between Perf vs Data Analyst?

AspectPerfData Analyst
Required CredentialsPerformance testing certifications, technical skillsStatistics, data analysis certifications, SQL, Excel
Work EnvironmentIT, software testing teams, performance optimization projectsBusiness, finance, marketing departments, data interpretation
Employer & Industry UsageTech companies, software firms, gaming industryVarious industries including finance, healthcare, marketing
Common Search & ComparisonYesYes

Perf specialists focus on testing and optimizing system performance, often requiring technical certifications and working within IT teams. Data Analysts interpret data to inform business decisions, requiring analytical skills and data certifications. While both roles involve data and technical skills, Perf is more technical and system-focused, whereas Data Analysts focus on data interpretation and reporting.

What are some common challenges faced by Performance Engineers and how can they be addressed?

Performance Engineers often encounter challenges such as identifying bottlenecks in complex systems, balancing resource constraints, and optimizing application responsiveness under varying loads. To address these challenges, it is important to use robust monitoring tools, collaborate closely with development and operations teams, and proactively test applications in environments that simulate real-world usage. Emphasizing clear communication and thorough documentation also helps ensure that performance improvements are sustainable and understood across the team.

What are the key skills and qualifications needed to thrive as a Perfusionist, and why are they important?

To thrive as a Perfusionist, you need a comprehensive understanding of cardiovascular and respiratory physiology, typically backed by a bachelor's degree and certification from an accredited perfusion program. Expertise in operating heart-lung machines, ECMO devices, and other advanced life-support systems is crucial. Attention to detail, composure under pressure, and strong communication skills are essential soft skills for this role. These competencies ensure patient safety and optimal outcomes during complex surgical procedures requiring cardiopulmonary bypass.

What is a Perf in a professional context?

In a professional context, 'Perf' is typically an abbreviation for 'Performance Engineer' or 'Performance Test Engineer.' This role involves analyzing, testing, and optimizing the performance of software applications or systems. Perf professionals use specialized tools to identify bottlenecks, ensure scalability, and make recommendations for improvements to maintain optimal system performance. They collaborate with development and operations teams to ensure applications meet performance requirements and service level agreements.
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PERF jobs near you
Infographic showing various Perf job openings in the United States as of July 2026, with employment types broken down into 78% Full Time, 21% Part Time, and 1% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $34,012 per year, or $16.4 per hour.
Senior GPU Memory Architect

Senior GPU Memory Architect

Nvidia

Seattle, WA

Full-time

Re-posted 16 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

NVIDIA is seeking a world-class computer architect to contribute to the development of future high-performance computing systems, with a focus on enhancing the power-constrained performance of the hardware. Ideal candidates will have a strong track record of understanding and analyzing memory systems architecture to improve performance per watt (perf/W) and performance per millimeter (perf/mm). A broad perspective across the field of computer architecture and depth in the area of power, performance, and area (PPA) analysis is highly desirable. NVIDIA has pioneered programmable GPUs and the CUDA language and is a world leader in high-performance computing technology, with aggressive plans for future processors. This position offers the opportunity to have a real impact in a fast-moving, technology-focused company.

What you will be doing:

  • Develop innovative high-performance processor and system architectures, focusing on the memory system and energy efficiency.

  • Develop architecture and micro-architecture features to improve the state-of-the-art in GPU memory systems, optimizing along the axes of perf/W, perf/mm, and perf/$.

  • Develop and enhance architecture prototype models for power and noise analysis.

  • Participate in performance and power simulation of features to analyze, define, and improve energy per byte.

  • Analyze benchmarks, application workloads, and performance/power simulation and emulation results to identify areas for architecture optimizations.

  • Debug power, performance, and functional issues with high-level models, RTL simulation and emulation, silicon, and systems.

  • Collaborate with outside partners on system infrastructure.

What we want to see:

  • 10+ yrs of experience in CPU/GPU architecture, memory systems design with a focus on energy efficiency in the system.

  • Bachelors in Electrical Engineering, Computer Science, or related field (or equivalent experience).

  • Expertise in power analysis and modeling in pipeline-based architectures.

  • Good understanding of power analysis tools like Ansys Power Artist, Synopsys PTPX, etc.

  • Experience with C, C++, and some scripting languages.

Ways to stand out from the crowd:

  • MS/PhD in Electrical Engineering, Computer Science, or related field

  • Experience with hardware design languages such as Verilog or VHDL

  • Prior experience in developing and optimizing algorithms for power efficiency

  • Demonstrated ability to innovate and drive continuous improvement in system architecture

  • Excellent communication skills, both written and verbal, for effective collaboration with internal teams and external partners.

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 March 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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