NVIDIA Corporation

Emulation Front-End Infrastructure Engineer

NVIDIA Corporation$136K — $264K *
Technical Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • BS in Electrical/Computer Engineering or equivalent experience with 5+ years of relevant experience; or MS with 3+ years
  • Experience with RTL compilation, synthesis, and flow automation
  • Proficient in Verilog and SystemVerilog for debugging and modification
  • Strong understanding of RTL elaboration and synthesis
  • Hands-on experience with EDA tools like Synopsys Design Compiler and Cadence HDL-ICE
  • Automation and scripting skills in Python, Perl, Tcl, and shell scripting
  • Experience with distributed computing environments and version control systems

Responsibilities

  • Own and evolve front-end compilation and synthesis infrastructure
  • Develop and automate robust compilation and synthesis flows
  • Run, analyze, and debug compilation and synthesis regressions
  • Explore AI techniques to enhance flow automation and analysis
  • Evaluate and support EDA tools for compilation and emulation
  • Diagnose complex implementation issues
  • Improve flow performance and usability in a large development environment

Benefits

  • Equity opportunities
  • Comprehensive benefits package
  • Cutting-edge workplace technology
  • Collaborative team environment
  • Professional development opportunities
Full Job Description
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.


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.

Applications for this job will be accepted at least until August 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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