411,854open jobs
14,107companies
70,575added this week
Browse all
Salary
$224k – $357k per year
Location
In office (Santa Clara, Seattle)
Seniority
Architect · 12+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
NVIDIA is an American technology company founded in 1993 that invented the graphics processing unit and has become the dominant supplier of accelerated computing platforms for artificial intelligence. Its portfolio spans data centre GPUs and systems built on the Hopper and Blackwell architectures, GeForce consumer graphics, automotive and robotics platforms, high-speed networking acquired with Mellanox, and the CUDA software stack that binds the ecosystem together. Headquartered in Santa Clara, California, the company sells to cloud providers, enterprises, research institutions and gamers worldwide and is one of the most valuable listed businesses on the Nasdaq.

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.

Whatyou'llbe 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.
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
411,854 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
Santa Clara
$110k – $263k per year (Estimated) • Remote • Full-Time
Python
AI/ML
vLLM
CUDA Toolkit
Quantization
ONNX
TensorRT
PyTorch
CUDA
Triton
ROCm
Edge AI
ONNX Runtime
Speculative Decoding
KV Cache
Apply
$80k – $206k per year (Estimated) • Remote • Full-Time
Python
AI/ML
vLLM
CUDA Toolkit
Quantization
ONNX
TensorRT
PyTorch
CUDA
Triton
ROCm
Edge AI
ONNX Runtime
Speculative Decoding
KV Cache
Apply
$70k – $131k per year (Estimated) • Remote • Full-Time
Python
AI/ML
vLLM
CUDA Toolkit
Quantization
ONNX
TensorRT
PyTorch
CUDA
Triton
ROCm
Edge AI
ONNX Runtime
Speculative Decoding
KV Cache
Apply
$114k – $206k per year (Estimated) • Remote • Full-Time
Python
AI/ML
vLLM
CUDA Toolkit
Quantization
ONNX
TensorRT
PyTorch
CUDA
Triton
ROCm
Edge AI
ONNX Runtime
Speculative Decoding
KV Cache
Apply
$102k – $179k per year (Estimated) • Remote • Full-Time
Python
AI/ML
vLLM
CUDA Toolkit
Quantization
ONNX
TensorRT
PyTorch
CUDA
Triton
ROCm
Edge AI
ONNX Runtime
Speculative Decoding
KV Cache
Apply
In office • Full-Time • Bachelor's Degree • Yokneam
DevOps
HPC
Apply
Release Manager 5 days ago
$97k – $241k per year (Estimated) • In office • Full-Time • 3+ years exp • Master's Degree • Tel Aviv
DevOps
GitHub
Analytics
Power BI
Management
Confluence
Jira
Apply
$36k – $85k per year (Estimated) • In office • Full-Time • 5+ years exp • Beijing • Shanghai • Shenzhen
AI/ML
CUDA Toolkit
CUDA
DevOps
HPC
Chips/EDA
PoC Library
Apply
$76k – $232k per year (Estimated) • In office • Full-Time • 1+ year exp • Bachelor's Degree • Yokneam
Python
Apply
$113k – $264k per year (Estimated) • In office • Full-Time • 5+ years exp • PhD • Yokneam • Tel Aviv
Apply
$154k – $313k per year • Equity • In office • 15+ years exp • Master's Degree • Santa Clara
AI/ML
AI Agents
DevOps
GCP
Azure
AWS
Cybersecurity
Zero Trust
Apply
$124k – $155k per year • Remote/Hybrid • 5+ years exp • Bachelor's Degree • Santa Clara
Python
DevOps
VMWare
OpenStack
Cybersecurity
Wireshark
Management
Jira
QA
TestRail
Apply
$208k – $260k per year • Remote/Hybrid • Santa Clara
AI/ML
AI Agents
Apply
$184k – $230k per year • Remote/Hybrid • 10+ years exp • Bachelor's Degree • Santa Clara
Verilog
Apply
$140k – $175k per year • Remote/Hybrid • 8+ years exp • Bachelor's Degree • Santa Clara
DevOps
VMWare
Azure
AWS
Apply
See all jobs
This is one of many
411,854 more open roles from verified company boards, updated every day.