Role at a glance
- Salary
- $136K – $264.5K/yr
- Location
- Austin, Texas, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 3 years of relevant experience
- Education
- Bachelor’s or Master’s degree in Computer or Electrical Engineering (or equivalent experience)
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Role Summary
The NVIDIA System-On-Chip group is seeking an ASIC Verification Engineer to verify and improve methodologies for system-level IP responsible for measuring performance across multiple projects. The role covers verification at unit, sub-system, and SOC environment levels and involves collaboration with architects, designers, and software engineers.
What You'll Do
- Design and maintain unit-level and sub-system verification environments.
- Understand architecture specifications and develop and execute test plans.
- Create UVM components, sequences, tests, and scoreboards.
- Sign off on verification efforts using high-quality code and functional coverage.
- Launch regressions, resolve issues, and advance design-verification milestone targets.
- Automate build, regression, and triage processes.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
System Verilog, UVM, OOPS-based programming, Python or other industry-standard scripting languages, RTL design (Verilog), computer architecture fundamentals, VCS or equivalent simulation tools, and Verdi or equivalent debug tools.
Required
- System Verilog
- UVM
- OOPS-based programming
- Python or other industry-standard scripting languages
- RTL design (Verilog)
- Computer architecture fundamentals
- VCS or equivalent simulation tools
- Verdi
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 which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.
The NVIDIA System-On-Chip (SOC) group is looking for an experienced ASIC Verification Engineer! In this position you will have the chance to create a high-level and broad impact at NVIDIA working on a system-level IP responsible for measuring performance on multiple projects. Your focus will be on verifying and improving the related verification methodologies for the corresponding design (RTL). For this position, you should have real passion for verification methodologies and implementation that enable high quality system-level IP design and robust verification at multiple environment levels (e.g., unit, sub-system, and SOC).
What you'll be doing:
Design and maintain the unit level/sub-system Verification environment.
Understand the architecture specifications, develop and carry out the test plan to verify the design.
Create UVM components, sequences, tests and scoreboards.
Sign off on the verification efforts with very high-quality code and functional coverage.
Launch regressions, resolve the issues, and make forward progress towards achieving the DV milestone targets
Automate the manual steps involved in launching build, regression, and triage.
Collaborate with architects, designers, and software engineers to achieve project goals.
Proactively contributes to improving the efficiency of the testbenches by embracing the latest techniques.
Responsible for end-to-end verification of IPs, ensuring the highest quality delivery.
What we need to see:
Bachelor’s or Master’s degree in Computer or Electrical Engineering (or equivalent experience) with 3 years of relevant experience.
Proficient with System Verilog, UVM required and OOPS based programming.
Strong coding skills in Python or other industry-standard scripting languages.
Strong understanding of RTL design (Verilog).
Good understanding of computer architecture fundamentals.
Familiarity with verification tools such as VCS or equivalent simulation tools, and debug tools like Verdi.
With industry-leading salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. The most forward-thinking engineers in the world do their life’s work at NVIDIA. If you're creative and autonomous, with a real passion for technology, we want to hear from you.
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 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.