Role at a glance
- Salary
- $116K – $218.5K/yr
- Location
- 2 Locations, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Experience in clock-domain-crossing checking, MTBF analysis
- Education
- Master's or PhD degree in Electrical or Computer Engineering (or equivalent experience).
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Role Summary
The ASIC Physical Design Engineer, Netlisting will join NVIDIA's dynamic and growing team focused on physical design of high-frequency and low-power CPUs, GPUs, and SoCs. The role focuses on netlist-related aspects of block-, cluster-, and full-chip-level physical design, including verification, synthesis, and netlist quality.
What You'll Do
- Drive physical design of CPUs, GPUs, and SoCs at block, cluster, and/or full-chip level.
- Perform netlist-related activities including equivalence checking, asynchronous checking, clock-domain-crossing checks, MTBF analysis,...
- Help generate and implement engineering change orders (ECOs).
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: logic equivalence checking/Formal Verification from RTL to tapeout; hardware architecture; RTL/logic design for timing closure; clock-domain-crossing checking and MTBF analysis; logic synthesis; industry-standard EDA tools; programming and scripting with Perl, TCL, Make, or Python.
Required
- Logic equivalence checking/Formal Verification from RTL to tapeout
- Understanding of hardware architecture
- Hands-on RTL/logic design for timing closure
- Clock-domain-crossing checking and MTBF analysis
- Logic synthesis at block or full-chip level
- Industry-standard EDA tools
- Programming and scripting languages such as Perl, TCL, Make, and Python
Preferred
- Experience in logic synthesis and equivalence checking/FV
- Familiarity with industry tools and flow
- Strong hands-on debugging capability and problem-solving skills
- Experience improving workflows and productivity through effective AI utilization
Original job description
Content provided by the employer
Original job description
Content provided by the employer
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are now looking for a motivated ASIC Physical Design Engineer, Netlisting to join our dynamic and growing team. If you want to challenge yourself and be a part of something great, join us today! 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 tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.
What you'll be doing:
Drive physical design of high-frequency and low-power CPUs, GPUs, SoCs at block level, cluster level, and/or full chip level, with a focus on netlist-related aspects such as equivalence checking, asynchronous checking including clock domain crossing checks and MTBF analysis, logic synthesis, netlist quality checks, etc.
Help in ECO generation and implementation.
What we need to see:
Master's or PhD degree in Electrical or Computer Engineering (or equivalent experience).
Shown knowledge in logic equivalence checking/Formal Verification required from RTL to tapeout with industry-standard tools.
Understanding of hardware architecture and hands-on skills in RTL/logic design for timing closure.
Experience in clock-domain-crossing checking, MTBF analysis, either with EDA tools (i.e., Synopsys or Cadence) or in-house tools.
Background with logic synthesis at either block or full-chip level, at project execution and/or flow development.
In-depth knowledge of industry standard EDA tools in related fields.
Experience in programming and scripting languages, such as, Perl, TCL, Make, Python, etc.
Ways to stand out from the crowd:
Experience in logic synthesis and equivalence checking/FV. Familiarity with industry tools and flow.
Strong hands-on debugging capability and problem-solving skills.
Experience improving workflows and productivity through effective AI utilization is a plus.
NVIDIA is widely considered to be the leader of AI computing, and one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, 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 116,000 USD - 189,750 USD for Level 2, and 136,000 USD - 218,500 USD for Level 3.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.