Full-Time

Senior Interconnect Product Engineer

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

$168k - $310.5kAnnually

+ Equity

Senior

Santa Clara, CA, USA

Category
Embedded Engineering
Software Engineering
Required Skills
Python
Data Analysis
Requirements
  • B.Sc. in Electrical Engineering/Material Engineering/Chemistry Engineering or equivalent experience
  • At least 5+ years of relevant experience in Test or Network debugging – layer 1
  • Strong problem solving and prioritization ability
  • Strong statistics and data analysis background (JMP)
  • Good software skills, especially in scripting languages (Python)
  • Work under stress capabilities
  • Multi-tasking capabilities
  • Ability to work early hours with business partner
Responsibilities
  • Analyze networking failures and cross-correlate multi-test data to identify root causes.
  • Design and complete engineering experiments to reproduce, screen, and resolve product issues.
  • Collaborate with multi-disciplinary teams (Application Engineers, Solution Architects, Firmware Developers) to address complex challenges.
  • Innovate solutions that enhance product quality and performance.
  • Deliver timely and accurate reports on findings and solutions in a high-pressure environment.
  • Provide feedback based on Test House data to optimize product screening processes.
Desired Qualifications
  • Experience with optical networking
  • Physical layer 1 networking verification

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 AI and computing technologies, ensuring they remain a leader in the industry while serving 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-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