Role at a glance
- Salary
- $168K – $310.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 6+ years of relevant experience.
- Education
- Bachelor’s Degree in EE, CS, or CE; or equivalent experience.
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Role Summary
This ASIC Verification Engineer role verifies the design and implementation of NVIDIA GPUs across consumer graphics and artificial intelligence product lines. The role works with architects, designers, and pre- and post-silicon verification teams to establish verification scope, infrastructure, and correctness for ASIC designs.
What You'll Do
- Verify the design and implementation of GPUs
- Verify ASIC design, architecture, golden models, and micro-architecture using advanced verification methodologies such as UVM
- Understand unit design and implementation and define verification scope
- Develop verification infrastructure and verify design correctness
- Collaborate with architects, designers, and pre- and post-silicon verification teams
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Bachelor’s degree in EE, CS, or CE or equivalent experience; 6+ years of relevant experience; random stimulus, functional coverage, and assertion-based verification; VCS or equivalent simulation tools and debug tools such as Debussy and GDB; unit- and system-level testbench environments; SystemVerilog or similar HVL; C++ with object-oriented programming, data structures, and algorithms; computer architecture and digital build fundamentals; debugging and analytical skills.
Required
- Bachelor’s Degree in EE, CS, or CE; or equivalent experience
- 6+ years of relevant experience
- Verification using random stimulus, functional coverage, and assertion-based verification methodologies
- Design and verification tools, including VCS or equivalent simulation tools and debug tools like Debussy and GDB
- Test bench environments for unit- and system-level verification
- SystemVerilog or similar HVL
- C++ programming, object-oriented programming principles, data structures, and algorithms
- Fundamentals of computer architecture and digital build
Preferred
- Prior experience with processor pipeline verification
Original job description
Content provided by the employer
Original job description
Content provided by the employer
NVIDIA is seeking elite ASIC Verification Engineers to verify the design and implementation of the world’s leading GPUs. This position offers the opportunity to have real impact in a dynamic and technology-focused company, with your work influencing product lines ranging from consumer graphics to artificial intelligence. We have crafted a team of extraordinary 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.
What you'll be doing:
As a key member of our ASIC Verification team, you will:
Verify the design and implementation of the industry's leading GPUs.
Be responsible for verification of the ASIC design, architecture, golden models, and micro-architecture using advanced verification methodologies such as UVM or equivalent experience.
Understand the design and implementation of your unit, define the verification scope, develop the verification infrastructure, and verify the correctness of the design.
Collaborate with architects, designers, and pre-/post-silicon verification teams to accomplish your tasks.
What we need to see:
Bachelor’s Degree in EE, CS, or CE; or equivalent experience.
6+ years of relevant experience.
Experience in verification using random stimulus, along with functional coverage and assertion-based verification methodologies.
Background with design and verification tools (VCS or equivalent simulation tools; debug tools like Debussy, GDB).
Experience in crafting test bench environments for unit- and system-level verification.
Expertise in SystemVerilog or similar HVL.
C++ programming language experience, including a strong understanding of object-oriented programming principles, data structures, and algorithms.
Good working knowledge of the fundamentals of computer architecture and digital build.
Excellent debugging and analytical skills.
Prior experience with processor pipeline verification is desirable.
#LI-Hybrid
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.
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.
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.