Role at a glance
- Job function
-
Engineering & R&D Electrical, Electronics & Controls Engineering
- Salary
- Not Disclosed
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 6+ years or more of experience in validating and debugging complex systems.
- Education
- BSEE or BSCE or equivalent experience
Spotted an issue?
We’ll check it against the original posting.
Role Summary
The Senior Validation Engineer works with hardware and software engineers on validation of GPU-accelerated computing products. The role develops and executes automated system-level tests and supports product release.
What You'll Do
- Own product validation from test-plan development through test execution, bug resolution, and release to production.
- Develop test automation, design-for-validation requirements, resource plans, and coverage metrics.
- Collaborate with ODMs, component suppliers, and QA teams to identify coverage gaps.
- Coordinate internal and external teams across time zones.
- Develop system-level stress and performance testing strategies using deep learning and AI applications.
- Debug complex system-level hardware and software issues on GPU-accelerated computing platforms.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
BSEE or BSCE, or equivalent experience; at least 6 years validating and debugging complex systems; high-speed I/O and 50 GBaud/s-and-above SERDES validation; DSP-based high-speed SERDES architecture knowledge and programming or scripting experience with C/C++, JS, and Python; experience developing or running real-world workloads and factory diagnosis tools; familiarity with lab instrumentation such as oscilloscopes and digital multimeters; strong communication and cross-team and supplier collaboration skills.
Required
- Experience with datacenter products, including system management, security, networking, and storage.
- Familiarity with Ethernet and InfiniBand switch architectures.
- Hands-on SERDES performance tuning experience.
- A track record of continuous process improvement and interest in tools and automation.
- Knowledge of circuit and waveform analysis.
Preferred
- Experience with datacenter products, including system management, security, networking, and storage.
- Familiarity with Ethernet and InfiniBand switch architectures.
- Hands-on experience with SERDES performance tuning.
- A track record of continuous process improvement and a passion for tools and automation.
- Knowledge of circuit and waveform analysis.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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. Make the choice to join us today.
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:
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 as well as 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.
You will also be eligible for equity and benefits.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.