1,191,501open jobs
66,754companies
211,456added this week
Browse all
Salary
$132k – $207k per year
Location
Hybrid (United States)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 4, 2026. First seen by Alion on Oct 1, 2026. NVIDIA scores A 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 currently seeking a Field Applications Engineer focused on production at scale to join our dedicated and hardworking team. At NVIDIA, we are leading the AI computing revolution, creating innovative deep learning solutions that are transforming industries globally. As a member of our team, you will play a vital role in ensuring the reliability, manufacturability, and quality of our GPU products across production and deployment environments. If you have a strong passion for root cause analysis, yield improvement, and working with cross-functional engineering teams, this is an excellent opportunity for you to make a meaningful contribution!

What you'll be doing:

  • Be a technical specialist on GPU and networking products, directly supporting manufacturing, quality, and failure analysis teams to improve product reliability and yield.
  • Actively establish and nurture technical relationships with internal engineering teams, manufacturing partners, and quality teams.
  • Identify system failure modes, manufacturing risks, and product requirements to drive corrective actions and design/process improvements.
  • Frequent on-site presence in labs or manufacturing sites to diagnose, reproduce, and resolve hardware and system-level failures.
  • Support the product lifecycle from NPI (New Product Introduction) through high-volume manufacturing and field returns, ensuring quality, reliability, and continuous improvement.
  • Develop failure analysis methodologies, test plans, and diagnostic tools for hardware validation.
  • Provide technical training and documentation to manufacturing, test, and quality teams on failure modes and debugging techniques.
  • Establish strong communication channels and collaborative relationships with cross-functional teams (design, validation, manufacturing and quality) to drive issue resolution, root cause determination, and corrective actions.

What we need to see:

  • BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).
  • 5+ years of work-related experience in the high-tech electronics industry, particularly in manufacturing, failure analysis, validation, or hardware debug roles.
  • Capable of excelling in a dynamic, constantly evolving environment.
  • Strong ability to manage multiple failure investigations, escalations, and yield improvement initiatives.
  • Expert analytical and problem-solving abilities.
  • Strong time management and organizational skills for coordinating complex failure analysis and cross-functional investigations.
  • Excellent written and oral communication skills in English, with the ability to clearly present failure analysis results and collaborate effectively with cross-functional engineering teams and management.

Ways to stand out from the crowd:

  • Experience with ARM and NVIDIA GPU development.
  • Knowledge of Embedded Linux Systems, APIs, and system-level debugging tools for root cause analysis.
  • Experience working with manufacturing partners, ODMs/OEMs, or reliability/quality teams in high-volume production environments.
  • In-depth understanding of CPU/GPU architecture and system-level failure mechanisms.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 132,000 USD - 207,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 5, 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.
1,191,501 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

Industrial Engineering
Similar stack
Same company
United States
Design Supervisor 1 hour ago
≈ $68k – $127k per year (Estimated) • Equity • In office • Full-Time • 3+ years exp • Cuyahoga Falls
Management
Microsoft Office
Apply
Supervisor Design 1 hour ago
≈ $60k – $113k per year (Estimated) • Equity • In office • Full-Time • 3+ years exp • Greenwood
Management
Microsoft Office
Apply
$82k – $143k per year • Equity • In office • Full-Time • 4+ years exp • Bachelor's Degree • Oakland
SQL
Management
Microsoft Office
Apply
$141k – $246k per year • Equity • In office • Full-Time • Bachelor's Degree • Kent
Apply
Imaging Engineer II 1 hour ago
≈ $56k – $105k per year (Estimated) • In office • Full-Time • 3+ years exp • Buffalo
Management
Microsoft Office
Apply
$172k – $275k per year • Equity • Remote (United States) • Full-Time • 4+ years exp • United States
Python
AI/ML
Computer Vision
NLP
TensorFlow
PyTorch
LLM
RAG
LLMOps
Machine Learning
DevOps
Ansible
Red Hat
CI/CD
Kubernetes
Linux
Apply
In office • Full-Time • Cairo
Databases
MySQL
MariaDB
DevOps
Nginx
Linux
Apply
Hybrid • Full-Time • 5+ years exp • Pasig
Python
JavaScript
SQL
Dart
Node JS
AI/ML
LLM
Frontend
Next.js
React.js
Mobile
Flutter
DevOps
CI/CD
Nginx
Linux
Management
Xero
Agile
Apply
$40k – $67k per year • In office
DevOps
Azure
AWS
Linux
Windows
Cybersecurity
CVSS
SBOM
SIEM
Chips/EDA
PoC Library
Apply
$168k – $270k per year • Remote (United States) • Full-Time • 8+ years exp • Bachelor's Degree • United States
DevOps
GCP
Azure
AWS
Cybersecurity
ISO 27001
SOC 2
Apply
$168k – $265k per year • In office • Full-Time • 10+ years exp • Bachelor's Degree • Santa Clara
Python
Perl
Apply
$116k – $190k per year • In office • Full-Time • 2+ years exp • PhD • Santa Clara
Python
MATLAB
DevOps
Git
Apply
$168k – $265k per year • In office • Full-Time • 8+ years exp • PhD • Santa Clara • Austin
Python
Perl
Chips/EDA
Synopsys StarRC
Apply
$116k – $190k per year • In office • Full-Time • Master's Degree • Santa Clara
AI/ML
NVLink
Chips/EDA
Cadence Virtuoso
Synopsys HSPICE
Synopsys FineSim
Apply
$90k – $125k per year • Hybrid • Secret • Master's Degree • United States
Apply
$50k – $63k per year • In office • Full-Time • 3+ years exp • United States
DevOps
Amazon S3
Apply
Lead Cook Trainee 4 hours ago
$46k – $50k per year • In office • Full-Time • Bachelor's Degree • United States
Apply
CDL Driver Apprentice 4 hours ago
≈ $40k – $67k per year (Estimated) • In office • Internship • High School Diploma • United States
Apply
CDL Driver Apprentice 4 hours ago
$44k per year • In office • Internship • High School Diploma • United States
Apply
See all jobs
This is one of many
1,191,501 more open roles from verified company boards, updated every day.