Senior System Architect, GPU

Experience: Not Available to Not Available years

Location: Santa Clara, California, United States

Skills: Python, Excel, GPU architecture, AI, accelerated computing, performance analysis, performance simulators, testbench components, analysis tools, Power Delivery Network (PDN), DC Networking, off-chip IO, memory subsystem, Network-on-Chip (NoC), reset and boot, DFT, power management, performance scaling, modern packaging technologies

What you will be doing:
Develop GPU architecture innovations and improvements, optimizing along the axes of scalability/modularity, performance and power efficiency, area, yield, effort, and schedule. Benchmark GPU configurations (core count, memory and interconnect bandwidth) employing advanced packaging; identify optimal designs for 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 architecture specifications; work with ASIC design, software, and VLSI teams to review and explore trade-offs, define solutions, and track progress. Collaborate with other functional teams (Design, Floorplan, Packaging 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 power management Expertise in analyzing performance scaling and bottlenecks at device and system levels for AI/accelerated computing workloads Knowledgeable in modern packaging technologies, and their costs and perks Consistent track record of efficiently implementing complex architectural features Outstanding problem-solving skills with a focus on optimizing performance, area, complexity, and power.

Salary and Benefits:
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. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 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.

📌 Senior System Architect, GPU (Mumbai)
🏢 NVIDIA
📍 Mumbai