채용
Benefits & Perks
•Equity
•Equity
Required Skills
High Speed IO Validation
System Validation
System Debugging
Dynamo
TensorRT
Slurm
CUDA
cuBLAS
CUTLASS
Python
Computing Architectures
Senior Validation Engineer
- DGX Server Product Engineering Team
About NVIDIA
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology—and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life's work, to amplify human imagination and intelligence.
About the Role
We are now looking for a Senior Validation Engineer in the DGX Server Product Engineering Team. In this role you will be working with a team of HW/SW engineers to develop and implement complex automated test plans for our industry leading GPU accelerated computing products.
Responsibilities
- System architecture, design, performance modelling, estimation across new models and new packages
- Collaborate with ODMs, component suppliers, and QA teams to ensure no gaps in coverage
- Enable GPU SKU bring up, validation and model enablement
- Develop system level stress and performance testing strategies using industry leading Deep Learning/AI applications
Required Qualifications
- Ability to work on site in hardware lab environment 5 days a week
- BSEE or BSCE or equivalent experience
- High speed IO validation
- 5+ years or more of experience in validating and debugging complex systems
- Developing/running real world workload and factory diagnosis tools
- Dynamo, TensorRT, Slurm skills mandatorily required
- Proficiency in Cuda, Cublas and Cutlass
- Deep understanding of computing architectures
- Coding experience with python programming, running simulators
Preferred Qualifications
- Knowledge of vLLM, SG Lang
- Experience with datacenter products including system management, security, networking, and storage
- Background with x86/Arm server architectures and accelerated GPU computing
- Track record of continuous process improvement with a passion for tools and automation
- Proven knowledge in Circuit and Waveform analysis
Compensation and Benefits
NVIDIA offers highly competitive salaries and a comprehensive benefits package. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4. You will also be eligible for equity and benefits.
For more information, visit www.nvidiabenefits.com/
Additional Information
- Applications for this job will be accepted at least until February 8, 2026
- This posting is for an existing vacancy
- NVIDIA uses AI tools in its recruiting processes
Equal Opportunity
NVIDIA is committed to fostering a diverse 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.
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About NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
Employees
Santa Clara
Headquarters
$4.57T
Valuation
Reviews
4.1
10 reviews
Work Life Balance
3.5
Compensation
4.2
Culture
4.3
Career
4.5
Management
4.0
75%
Recommend to a Friend
Pros
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
Cons
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
Salary Ranges
47 data points
Junior/L3
Mid/L4
Junior/L3 · Analyst
7 reports
$170,275
total / year
Base
$130,981
Stock
-
Bonus
-
$155,480
$234,166
Interview Experience
7 interviews
Difficulty
3.1
/ 5
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
News & Buzz
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
News
·
NaNw ago
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
News
·
NaNw ago
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
News
·
NaNw ago
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
News
·
NaNw ago