Full-Time

Research Scientist

Circuits

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

$160k - $258.8kAnnually

+ Equity

Entry

Company Historically Provides H1B Sponsorship

Santa Clara, CA, USA

Candidates must be based in Santa Clara, CA.

Category
Electronics Design Engineering
Electrical Engineering

You match the following NVIDIA's candidate preferences

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

Degree
Experience
Requirements
  • Pursuing PhD or equivalent experience in Electrical Engineering, Computer Science/Engineering, or related field
  • Excellent knowledge and broad background of theory and practice of circuit design
  • Depth in one or more areas of high-performance circuit design (PLLs and clocking, SerDes and high-speed signaling, photonics, SRAMs, power delivery/regulation, security circuits, and high-speed logic)
  • Track record of research excellence or significant product development
  • Excellent communication and collaboration skills
Responsibilities
  • Explore circuit approaches to optimizing processor computation and interconnect performance and power
  • Design and implement circuit approaches in prototype systems
  • Collaborate with external researchers and a diverse set of internal product teams across research and product roles
  • Transfer technology to product groups
  • Publish original research and speak at conferences and events
Desired Qualifications
  • Strong publication, patent, and research collaboration history is a huge advantage

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). These products help developers, data scientists, and IT administrators perform complex tasks efficiently. NVIDIA differentiates itself from competitors by focusing on technological advancements and a diverse range of applications, including cloud-based services like NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. The company's goal is to drive innovation in computing and provide effective solutions for a wide array 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