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.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- 10+ years of experience in CPU/GPU architecture and memory systems design focused on system energy efficiency
- Bachelor's degree in Electrical Engineering, Computer Science, or a related field, or equivalent experience
- Expertise in power analysis and modeling in pipeline-based architectures
- Experience with power analysis tools such as Ansys Power Artist and Synopsys PTPX
- Experience with C, C++, and scripting languages
- Master's or PhD in Electrical Engineering, Computer Science, or a related field
- Experience with hardware description languages such as Verilog or VHDL
- Experience developing and optimizing algorithms for power efficiency
- Ability to innovate and drive continuous improvement in system architecture
- Excellent written and verbal communication skills for collaboration with internal teams and external partners
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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