Full-Time

Senior GPU Power Architect

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$184k - $425.5kAnnually

+ Equity

Senior, Expert

Company Historically Provides H1B Sponsorship

Austin, TX, USA + 3 more

More locations: Santa Clara, CA, USA | Durham, NC, USA | Westford, MA, USA

This is a hybrid position, requiring some in-office presence.

Category
Hardware Engineering
Computer Hardware Engineering
Required Skills
Python
Machine Learning
C/C++

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • MS in Computer Science, Electrical Engineering or Computer Engineering or equivalent experience.
  • 8+ years of relevant industry experience in GPU or CPU architecture (or other equivalent experience).
  • Programming ability in C++ and Python.
  • Background in hardware design, computer architecture, graphics algorithms, parallel processing, signal processing and/or high performance computing.
Responsibilities
  • Work with chip architects to understand architecture concept and high-level system requirements
  • Identify key areas for power improvements across Architecture/Software/Hardware and develop new features, defining requirements and dependencies across various teams.
  • Creating power models of key GPU units to evaluate architectural tradeoffs in DL/ML (training/inference) and graphics workloads
  • Drive improvements to architecture development processes to improve execution capabilities.
  • Design new hardware power saving features for future graphics and parallel processing architectures.
  • Be knowledgeable about future parallel programming models and their impact to hardware.
  • Be hungry to learn and work on simulators, RTL and real silicon.

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through hardware sales, software licenses, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance applications in AI, machine learning, and computer vision. Unlike many competitors, NVIDIA focuses heavily on research and development to maintain its leadership in technology and innovation. The company's goal is to drive advancements in AI and computing to provide effective solutions for a wide range of clients, from gamers to enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

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Benefits

Company Equity

401(k) Company Match