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

Austin, TX, USA + 3 more

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

Hybrid position requiring in-office presence.

Category
Hardware Engineering
Computer Hardware Engineering
Required Skills
Python
Machine Learning
C/C++
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 main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms tailored for developers and data scientists. NVIDIA stands out from competitors by offering a combination of hardware and software solutions, including cloud-based services like NVIDIA CloudXR and NGC, which enable scalable applications in AI and machine learning. The company's goal is to drive innovation in technology and provide advanced solutions that cater to 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

2%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
  • Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

What critics are saying

  • Increased competition from AI startups like xAI could challenge NVIDIA's market position.
  • Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
  • Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
  • 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