Senior System Architect, GPU

NVIDIA; United States; Remote; USD 224,000 - 426,000; Full time

Job summary

An established industry player is seeking a Senior System Architect to innovate and enhance GPU architecture. In this dynamic role, you will work cross-functionally with teams to develop cutting-edge solutions that push the boundaries of performance and efficiency. Your expertise will be critical in analyzing and optimizing configurations for future data center workloads. Join a forward-thinking company that values diversity and fosters a collaborative environment, where your contributions will directly influence the future of accelerated computing and AI technologies. This is a unique opportunity to be at the forefront of technological advancement.

Benefits

Equity

Comprehensive Benefits

Diverse Work Environment

Qualifications

• 8+ years in GPU or CPU System Architecture development.
• Proficiency in data analysis to correlate configuration changes.

Responsibilities

• Develop GPU architecture innovations optimizing performance and efficiency.
• Collaborate with teams to validate packaging choices against targets.

Skills

Data Analysis

Communication Skills

Problem-Solving

Collaboration

Education

Master’s/PhD in Computer Engineering

Tools

Python

Excel

Job description

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.