Job description

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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a senior SoC/Product Architect to define and drive the architecture of next-generation low-power SoCs at NVIDIA. You will own concept-to-product architecture decisions — balancing power, performance, and area — while partnering across CPU, GPU, memory, and IO teams to resolve system-level trade-offs and acting as the technical interface for product requirements and customer feedback. What you'll be doing: • Define SoC architecture for low-power platforms — CPU, GPU, memory subsystem, low-power IOs, and power management • Drive concept-level PPA trade-off analysis and lead the power/performance budget across the SoC • Architect the memory subsystem (LPDDR5/6, on-chip SRAM, bandwidth, QoS) for constrained power envelopes • Work with DL teams for evaluating and crafting workloads for low power — mapping tasks to constrained hardware; define optimization opportunities in partnership with Nvidia’s DL team. • Partner with CPU, GPU, and IO architecture teams inside NVIDIA to align on shared IPs and integration strategies • Translate customer requirements into architectural constraints; drive PRD development and requirements triage • Engage directly with customers pre-silicon to collect feedback and follow through on product decisions What we need to see: • 12+ years in SoC or product architecture, with deep hands-on knowledge of CPU, GPU, memory, and low-power IO subsystems • Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience) • Strong understanding of SoC architecture for low power mobile devices, including DVFS, power domains, and retention strategies • Experience with DL inference at the edge (TensorRT, TFLite, ONNX) and mapping workloads to constrained hardware • Track record of driving architecture decisions across multi-functional teams in a large organization Join the future of chip building, you will contribute to innovative products with a dedicated team! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until June 28, 2026. 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.

Requirements

Must-haves

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.
Define SoC architecture for low-power platforms — CPU, GPU, memory subsystem, low-power IOs, and power management
Drive concept-level PPA trade-off analysis and lead the power/performance budget across the SoC
Architect the memory subsystem (LPDDR5/6, on-chip SRAM, bandwidth, QoS) for constrained power envelopes
Work with DL teams for evaluating and crafting workloads for low power — mapping tasks to constrained hardware; define optimization opportunities in partnership with Nvidia’s DL team.
Partner with CPU, GPU, and IO architecture teams inside NVIDIA to align on shared IPs and integration strategies
Translate customer requirements into architectural constraints; drive PRD development and requirements triage
Engage directly with customers pre-silicon to collect feedback and follow through on product decisions
12+ years in SoC or product architecture, with deep hands-on knowledge of CPU, GPU, memory, and low-power IO subsystems
Master's Degree in Computer Engineering or Electrical Engineering (or equivalent experience)
Strong understanding of SoC architecture for low power mobile devices, including DVFS, power domains, and retention strategies
Experience with DL inference at the edge (TensorRT, TFLite, ONNX) and mapping workloads to constrained hardware
Track record of driving architecture decisions across multi-functional teams in a large organization
Join the future of chip building, you will contribute to innovative products with a dedicated team!
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until June 28, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

Platform: eightfold
Effort: medium

Benefits

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