2,059,901open jobs
121,852companies
244,032added this week
Browse all
Salary
$152k – $242k per year
Location
In office (Santa Clara)
Seniority
Architect · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 28, 2026. NVIDIA scores B on the Alion truth index.

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.

We are seeking a skilled CPU Power Architect to drive and optimize CPU power efficiency across the entire design cycle, from early architectural modeling through RTL implementation to silicon validation! In this role, you will work closely with software, architecture, RTL, physical design, and validation teams to identify power-saving opportunities, guide key design trade-offs, and ensure our CPUs achieve aggressive performance-per-watt goals. You will apply strong technical expertise in power analysis, modeling, and optimization while using silicon data to validate assumptions and refine future designs. Success in this position also requires excellent communication and collaboration skills, enabling you to influence cross-functional teams and help deliver highly efficient CPU products.

What you’ll be doing:

  • Pre-silicon Power Estimation: Model and estimate CPU power at C-model, RTL, and netlist stages using industry-standard tools.
  • Power Optimization: Identify inefficiencies and drive design improvements in collaboration with architects, RTL designers, and PD engineers.
  • Test Development: Create targeted power characterization tests (e.g., peak power, di/dt stress patterns) for both simulation and silicon.
  • Silicon Validation: Set up power measurement equipment and measure CPU power and performance in the lab; correlate silicon results with pre-silicon estimate to refine models.
  • Cross-functional Collaboration: Partner with multiple engineering disciplines to achieve optimal power efficiency without compromising performance.

What we need to see:

  • BS/MS in EE, CE, or CS or equivalent experience.
  • 5+ years of experience working in ASIC power measurement and optimization.
  • Strong understanding of leakage and dynamic power in VLSI circuits.
  • Experience with RTL and netlist power analysis tools such as Power Artist, PrimeTime PX, or equivalent.
  • Familiarity with CPU microarchitecture and its impact on power (CPU pipeline design, out-of-order execution, cache hierarchy, branch prediction).

Ways to stand out from the crowd:

  • Proficiency in using AI tools for automation and data analysis.
  • Experience with DVFS, clock gating, power gating, and multi-voltage domain design.
  • Knowledge of lab instrumentation for power measurement.
  • Strong communication skills for cross-team technical discussions.

NVIDIA is a global leader in accelerated computing, delivering breakthroughs in AI, HPC, and advanced system design. Our technologies power transformative applications across industries - from robotics and autonomous vehicles to healthcare and climate research.

With the introduction of the Grace and Vera CPU Superchips, NVIDIA has expanded into the CPU server market, complementing our world-class GPUs and SoCs. These CPUs play a critical role in orchestrating complex workloads with exceptional performance-per-watt efficiency. The CPU architecture team is driving innovations that integrate seamlessly with NVIDIA’s broader technology stack, enabling faster AI model training, efficient data processing, and scalable cloud deployments.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 1, 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.
2,059,901 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 Continue with Google
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

Hardware
Similar stack
Same company
Santa Clara
$150k – $195k per year · In office · 8+ years exp · Bachelor's Degree · Fremont
Python
Verilog
SystemVerilog
Chips/EDA
Siemens ModelSim
Xilinx Vivado
Apply
≈ $140k – $259k per year (Estimated) · In office · 5+ years exp · Bachelor's Degree · United States
Python
DevOps
CI/CD
Linux
Unix
TCP/IP
BGP
OSPF
Apply
≈ $149k – $275k per year (Estimated) · In office · New York
Chips/EDA
Altium Designer
OrCAD
MedTech
Verification & Validation
Apply
$169k – $242k per year · Equity · In office · 15+ years exp · Bachelor's Degree · Santa Clara
Apply
$155k – $221k per year · Equity · In office · 8+ years exp · Bachelor's Degree · Santa Clara
DevOps
Azure
AWS
Cybersecurity
ISO 27001
NIST CSF
Defense
CMMC
Apply
$184k – $288k per year · In office · Full-Time · 8+ years exp · Bachelor's Degree · Santa Clara
DevOps
RTOS
Linux
Robotics
ROS2
IoT
FreeRTOS
Apply
Engineering Lead 6 hours ago
≈ $146k – $291k per year (Estimated) · Hybrid · 5+ years exp · Bachelor's Degree · Santa Clara
JavaScript
Java
TypeScript
Java
Maven
Spring Boot
Hibernate
Spring MVC
Spring Security
Spring Cloud
Gradle
Databases
Oracle
RabbitMQ
Apache Kafka
AI/ML
Prompt Engineering
LLM
RAG
OpenAI
Frontend
Angular
Bootstrap
React.js
Mobile
Clean Architecture
DevOps
Rest API
GCP
GitHub Actions
Azure
CI/CD
Jenkins
AWS
Docker
Kubernetes
Amazon EKS
Google GKE
Azure AKS
SOAP
Management
Agile
Apply
$160k – $240k per year · Equity · In office · Full-Time · 3+ years exp · Master's Degree · Pleasanton · Santa Clara
Python
SQL
Python
pySpark
AI/ML
LangGraph
LangChain
Spark
DSPy
Fine-tuning
Reinforcement Learning
Multimodal AI
Computer Vision
AI Agents
NLP
DeepEval
PEFT
Transformers
TensorFlow
PyTorch
LLM
RAG
Knowledge Graph
Recommender Systems
Machine Learning
DevOps
GCP
AWS
Docker
Kubernetes
Robotics
Imitation Learning
Analytics
A/B Testing
Apply
≈ $136k – $262k per year (Estimated) · Hybrid · 12+ years exp · Bachelor's Degree · Santa Clara
SQL
Databases
Google BigQuery
DevOps
GCP
Azure
CI/CD
Jenkins
AWS
Docker
Kubernetes
Twelve-Factor App
Tekton
Google GKE
Google Cloud Run
GitLab
IAM
Apply
≈ $130k – $239k per year (Estimated) · In office · Full-Time · 5+ years exp · High School Diploma · Santa Clara
Apply
See all jobs
This is one of many
2,059,901 more open roles from verified company boards, updated every day.