NVIDIA has been pioneering accelerated computing for more than two decades—from the invention of the GPU to breakthroughs in AI, high-performance computing, robotics, autonomous vehicles, and gaming. Our Emulation Infrastructure team builds scalable hardware development platforms and compilation flows that enable pre-silicon validation of NVIDIA’s most complex designs.
We are now looking for a Emulation Front-End Infrastructure Engineer to join our team onsite in Santa Clara, CA.
What you’ll be doing:
Own and evolve front-end compilation, synthesis, and flow infrastructure for NVIDIA hardware emulation platforms.
Develop, maintain, and automate robust compilation and synthesis flows using scripting and industry-leading EDA tools.
Run, analyze, and debug regular compilation and synthesis regressions; help maintain RTL design stability in close partnership with logic designers.
Explore and apply AI techniques to improve flow automation, triage compilation failures, identify recurring failure patterns, and accelerate root-cause analysis.
Evaluate, deploy, and support EDA tools and methodologies for front-end implementation and emulation compilation.
Diagnose complex compilation, elaboration, synthesis, and implementation issues, working closely with internal design teams and EDA vendors.
Improve flow performance, reliability, scalability, usability, and observability across a large-scale hardware development environment.
What we need to see:
A BS degree in Electrical Engineering, Computer Engineering, or a related field (or equivalent experience) with 5+ years of relevant experience; or an MS degree in a related field with 3+ years of relevant experience.
Experience with RTL compilation, synthesis, front-end design implementation, and flow automation.
Working proficiency in Verilog and SystemVerilog, including the ability to read, debug, and modify RTL for emulation needs.
Strong understanding of RTL elaboration, synthesis, logic optimization, and front-end design methodologies.
Hands-on experience with front-end synthesis and compilation EDA tools, including Synopsys Design Compiler, ZeBu Compiler, and Cadence HDL-ICE.
Strong automation and scripting skills in Python, Perl, Tcl, shell scripting, and Makefile-based flows.
Experience running high volumes of jobs on distributed compute farms using workload schedulers such as LSF or Slurm, and using revision-control systems such as Perforce or Git.
Strong debugging, problem-solving, communication, and cross-functional collaboration skills.
Ways to stand out from the crowd:
Experience with hardware-emulation compilation flows and runtime bring-up or debugging is a plus!
Deep expertise with Synopsys Design Compiler, ZeBu Compiler, and Cadence HDL-ICE.
Experience building scalable regression, reporting, monitoring, and flow-debug infrastructure.
Experience building AI/LLM agents or automation that can classify tool logs, diagnose failures, and drive automated recovery.
Experience partnering directly with EDA vendors to resolve complex tool, methodology, or performance issues.
NVIDIA is widely recognized as one of the technology industry’s most desirable employers. Join NVIDIA’s Emulation Infrastructure team to build scalable, reliable compilation flows that enable pre-silicon validation and accelerate innovation across AI, robotics, autonomous driving, gaming, and high-performance computing.
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.Skills Required
- BS in Electrical Engineering, Computer Engineering, or related field with 5+ years experience; or MS with 3+ years experience
- Experience with RTL compilation, synthesis, front-end design implementation, and flow automation
- Working proficiency in Verilog and SystemVerilog (read, debug, modify RTL)
- Strong understanding of RTL elaboration, synthesis, logic optimization, and front-end design methodologies
- Hands-on experience with front-end synthesis and compilation EDA tools (Synopsys Design Compiler, ZeBu Compiler, Cadence HDL-ICE)
- Automation and scripting skills in Python, Perl, Tcl, shell scripting, and Makefile-based flows
- Experience running high volumes of jobs on distributed compute farms using workload schedulers (LSF or Slurm)
- Experience with revision-control systems such as Perforce or Git
- Strong debugging, problem-solving, communication, and cross-functional collaboration skills
- Experience with hardware-emulation compilation flows and runtime bring-up or debugging
- Deep expertise with Synopsys Design Compiler, ZeBu Compiler, and Cadence HDL-ICE
- Experience building scalable regression, reporting, monitoring, and flow-debug infrastructure
- Experience building AI/LLM agents or automation to classify tool logs, diagnose failures, and drive automated recovery
- Experience partnering directly with EDA vendors to resolve complex tool or performance issues
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s 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 — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
