Overview
On Site
USD 168,000.00 per year
Full Time
Skills
Product Engineering
Automated Testing
Test Plans
Resource Planning
Test Execution
Collaboration
Quality Assurance
Performance Testing
Deep Learning
Artificial Intelligence
GPU
Computer Hardware
IO
Debugging
Communication
Oscilloscope
Digital Signal Processing
Scripting
C
C++
JavaScript
Python
Management
Computer Networking
Storage
Ethernet
InfiniBand
Switches
SERDES
Performance Tuning
Continuous Improvement
Recruiting
Promotions
SAP BASIS
Law
Job Details
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.
What you will be doing:
What We Need to See:
Ways to stand out from the crowd:
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 23, 2025.
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.
What you will be doing:
- Own validation of products from start to finish including test plan development, automation, design for validation requirements, resource planning, coverage metrics, test execution, bug resolution, and release to production.
- Collaborate with ODMs, component suppliers, and QA teams to ensure no gaps in coverage.
- Coordinate internal and external teams in different times zones.
- Develop system level stress and performance testing strategies using industry leading Deep Learning/AI applications.
- Solve complex system level hardware and software issues on GPU accelerated computing platforms.
What We Need to See:
- Ability to work on site in hardware lab environment 5 days a week
- BSEE or BSCE or equivalent experience
- High speed IO validation
- 6+ years or more of experience in validating and debugging complex systems.
- Developing/running real world workload and factory diagnosis tools
- Outstanding verbal and written communication skills.
- Proficient in collaborating across teams and suppliers to deliver quality products on tight schedules.
- Familiarity with lab instrumentations like Oscilloscopes (Digital Multi Meter)
- High-speed SERDES validation experience (50GBaud/s and above) is a must.
- Strong understanding of DSP-based high-speed SERDES architectures.
- Coding experience with programming and scripting languages such as C/C++, JS and Python.
Ways to stand out from the crowd:
- Experience with datacenter products including system management, security, networking, and storage.
- Familiarity with Ethernet and InfiniBand switch architectures is a strong plus.
- Hands-on experience with SERDES performance tuning would be a strong advantage.
- Track record of continuous process improvement with a passion for tools and automation.
- Proven knowledge in Circuit and Waveform analysis.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 23, 2025.
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.