Role at a glance
- Salary
- $136K – $264.5K/yr
- Location
- 2 Locations, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
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Role Summary
NVIDIA is seeking a Senior ASIC Physical Design Engineer, Netlisting, to support physical design of high-frequency and low-power CPUs, GPUs, and SoCs. The role focuses on netlist-related activities and physical design execution across block, cluster, sub-chip, and full-chip levels.
What You'll Do
- Drive physical design for CPUs, GPUs, and SoCs at block, cluster, and/or full-chip level.
- Perform equivalence checking, asynchronous checking, clock-domain-crossing checks, MTBF analysis, logic synthesis, and netlist quality...
- Drive timing convergence and generate and manage timing constraints.
- Generate and implement engineering change orders (ECOs).
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Requires expertise in logic equivalence checking/FV, clock-domain-crossing checking and MTBF analysis, logic synthesis, full-chip/sub-chip STA, timing constraints management, timing convergence, industry-standard EDA tools, and programming or scripting with Perl, TCL, Make, Python, or similar languages.
Required
- BS or MS in Electrical or Computer Engineering, or equivalent experience
- Logic equivalence checking/FV from RTL to tapeout
- Clock-domain-crossing checking and MTBF analysis
- Logic synthesis at block or full-chip level
- Full-chip/sub-chip Static Timing Analysis
- Timing constraints generation and management
- Timing convergence
- Industry-standard EDA tools
Preferred
- Logic synthesis and equivalence checking/FV with familiarity with industry tools and flow
- Strong hands-on debugging capability and problem-solving skills
- DFT timing closure for scan shift and capture, transition faults, or BIST
- Experience or a strong drive to improve 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 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.
We are now looking for a motivated Senior 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:
You will 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 all aspects of physical design, such as driving timing convergence, timing constraints generation and management, and ECO generation and implementation.
What we need to see:
BS (or equivalent experience) in Electrical or Computer Engineering with 5+ years’ experience or MS (or equivalent experience) with 3+ years’ experience.
Expertise in logic equivalence checking/FV required from RTL to tapeout with industry-standard tools. Deep 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 industry-standard tools or in-house tools.
Background with logic synthesis at either block or full-chip level, at project execution and/or flow development.
Strong experience in full-chip/sub-chip Static Timing Analysis (STA), timing constraints generation and management, and timing convergence.
Expertise and in-depth knowledge of industry standard EDA tools in related fields.
Proficiency 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.
Background in DFT timing closure for various modes e.g. scan shift and capture, transition faults, BIST, etc.
Candidates who demonstrate experience or a strong drive to improve workflows and productivity through effective AI utilization will stand out.
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.
#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 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.