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Senior System Architect, GPU

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We are looking for a Senior System Architect for our GPU team!

A key part of NVIDIA's strength is to innovate and deliver the highest performance in the world for AI and accelerated computing. We are constantly looking for ways to improve our GPU architecture and maintain our leadership. NVIDIA is seeking a motivated system architect to define future aspects of our GPU through employing pioneering technologies. Your role will be cross-disciplinary, working with software, ASIC design, verification, physical design, VLSI and platform teams. Our system architects excel at pushing the state of the art while making the best engineering trade-offs.

What you will be doing:

Develop GPU architecture innovations and improvements, optimizing along the axes of performance, power efficiency, complexity, area, yield, effort, and schedule.
Evaluate and benchmark GPU configurations (core counts, memory bandwidth, interconnect topologies) from employing different advanced packaging technologies, and identifying optimal designs for different future data center workloads.
Develop and enhance performance analysis infrastructure, including performance simulators, testbench components and analysis tools, to evaluate configurations under different constraints.
Implement and maintain high-level functional and performance models. Analyze application workloads and performance simulation results to identify areas of architecture improvements.
Document decisions in system architecture specifications, working with multi-functional teams in the organization including ASIC design, software, and VLSI to review, and explore architecture trade-offs, define overall solutions and track development progress.
Collaborate with other functional teams (ASIC, Floorplan Designs, Package Designs and Systems Engineering, etc) to validate packaging choices against performance, cost, and scalability targets.

What we need to see:

Master’s/PhD in Computer Engineering, Computer Science or related fields (or equivalent experience)
A minimum of 8 years of relevant work experience in GPU or CPU System Architecture development
Proficiency in data analysis (Python, Excel) to correlate configuration changes with performance metrics.
Deep understanding of accelerated computing and AI data center requirements and tradeoffs, including performance bottlenecks, TCO, Power Delivery Network (PDN), DC Networking, etc
Strong communication and interpersonal skills, as well as the ability to thrive in a dynamic, collaborative, distributed team.

Ways to stand out from the crowd:

Experience with GPU architecture, especially in off-chip IO, memory subsystem, and/or Network-on-Chip (NoC)/Interconnect. Knowledgeable in system level functions such as reset and boot, DFT, and/or power management
Expertise in analyzing performance scaling and bottlenecks at device and system levels for AI/accelerated computing workloads
Knowledgeable in advanced packaging technologies, and their costs and benefits
Consistent track record of efficiently implementing complex architectural features
Exceptional problem-solving skills with a focus on optimizing performance, area, complexity, and power.

The base salary range is 224,000 USD - 425,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

NVIDIA Glassdoor Company Review

4.6

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CEO of NVIDIA

Jensen Huang

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Average salary estimate

$324750 / YEARLY (est.)

min

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$224000K

$425500K

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What You Should Know About Senior System Architect, GPU, NVIDIA

At NVIDIA, we're on the lookout for an exceptional Senior System Architect to join our talented GPU team in beautiful Santa Clara, CA. As part of a company that prides itself on delivering the highest performance in AI and accelerated computing, you will play a pivotal role in shaping the future of our GPU architecture. We're all about innovation, and we believe that great ideas come from collaboration across disciplines. In this position, you’ll not only be optimizing GPU architecture for performance, efficiency, and complexity but also diving into the cutting-edge technologies that keep us ahead in the market. Your responsibilities will include evaluating configurations, developing performance analysis infrastructure, and working closely with teams across ASIC design, software, and VLSI to document your architectural decisions. With your advanced data analysis skills and deep understanding of accelerated computing, you’ll help us tackle future data center workloads and identify areas for improvement, while thriving in a dynamic, collaborative environment. If you’re passionate about GPU architecture and eager to apply your expertise in a team that values innovation as much as you do, NVIDIA is the place for you to bring your outstanding problem-solving skills to the forefront!

Frequently Asked Questions (FAQs) for Senior System Architect, GPU Role at NVIDIA

What are the responsibilities of a Senior System Architect at NVIDIA?

The Senior System Architect at NVIDIA is responsible for developing innovative GPU architecture improvements, optimizing performance and power efficiency, and evaluating GPU configurations for future data center workloads. Additionally, you will be involved in creating performance analysis infrastructure and collaborating with multi-functional teams to document architectural decisions.