Role at a glance
- Salary
- $136K – $264.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of meaningful validation experience.
- Education
- BS or MS in EE, ECE, CS or equivalent experience.
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Role Summary
The Senior Post-Silicon Validation Engineer will validate processor features on silicon for deep learning, gaming, and computing applications. The role develops post-silicon verification infrastructure and works cross-functionally with ASIC, software, and system teams to validate design correctness.
What You'll Do
- Validate features on silicon using hands-on lab equipment such as logic analyzers
- Understand the design and implementation and define the validation scope
- Develop post-silicon verification infrastructure, including test plans, tests, and scripts to analyze data
- Implement test and coverage plans
- Validate the correctness of the design
- Work cross-functionally with ASIC, software, and system teams
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
BS or MS in EE, ECE, CS or equivalent experience; 5+ years of meaningful validation experience; experience with VCS or equivalent simulation tools and debug tools such as Debussy and GDB; expertise in Python and/or Perl; strong debugging and analytical skills; good interpersonal skills; proven record to work multi-functionally and drive issues to closure.
Required
- BS or MS in EE, ECE, CS or equivalent experience
- 5+ years of meaningful validation experience
- Exposure to design and verification tools, including VCS or equivalent simulation tools and debug tools like Debussy and GDB
- Expertise in Python and/or Perl
- Strong debugging and analytical skills
- Good interpersonal skills
- Proven record to work multi-functionally and drive issues to closure
Preferred
- Experience with bus protocol such as PCI Express, SATA, or USB, or interconnect verification
- Background with lab equipment, oscilloscopes, and logic analyzers
Original job description
Content provided by the employer
Original job description
Content provided by the employer
We are now looking for a Senior Post-Silicon Validation Engineer to join our team!
NVIDIA has continuously reinvented itself over the past two decades. Our invention of the GPU in 1999 fueled 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. This position offers the opportunity to have real impact in a multidimensional, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted an outstanding team of people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. This is a dynamic team working with innovative, outstanding technology. If you are someone that loves a challenge, come join this complementary team and help move the needle!
What you'll be doing:
You'll implement the design the industry’s leading processor for deep learning, gaming, and dedication computing.
Responsible for validation of features on Silicon using hands-on lab equipment like logic analyzers etc.
Responsible for understanding the design and implementation, define the validation scope, develop the post-silicon verification infrastructure (Testplans, Tests, Scripts to analyze data), implement test/coverage plans and validate correctness of the design.
You will be working multi-functionally with ASIC, SW and System teams to accomplish your tasks.
What we need to see:
BS or MS in EE, ECE, CS or equivalent experience.
5+ years of meaningful validation experience.
Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, GDB).
Experience with bus protocol (e.g. PCI Express, SATA, USB) or interconnect verification is preferred.
Background with lab equipment, oscilloscopes and logic analyzers is helpful.
Expertise in Python and/or Perl.
Strong debugging and analytical skills.
Good interpersonal skills and ability & desire to work as a standout colleague are a must.
Proven record to work multi-functionally and drive issues to closure
#LI-Hybid
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 - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.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 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.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.
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.