NVIDIA

NVIDIA

Posted via Workday

Implementation Methodology Engineer

Posted Aug 5, 2026

Role at a glance

Salary
$136K – $264.5K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
5+ years of experience in logic design implementation and/or physical design implementation
Education
BS or MS in Electrical Engineering, Computer Engineering, or related fields (or equivalent experience).

Spotted an issue?

We’ll check it against the original posting.

Log in to report

Role Summary

AI-generated

The Implementation Methodology Engineer will join NVIDIA’s VLSI team and work on front-end design implementation methodologies, flow automation, and application support. The role develops in-house solutions and collaborates with logic and physical designers to address implementation issues and improve workflows.

What You'll Do

  • Develop front-end design implementation methodologies for synthesis and formal-equivalence-checking
  • Automate implementation flows and provide application support
  • Develop in-house solutions to improve NVIDIA's workflows
  • Collaborate with logic designers and physical designers to solve implementation issues
  • Provide support for EDA tools and flows

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

BS or MS in Electrical Engineering, Computer Engineering, or related fields; 5+ years of experience in logic design implementation and/or physical design implementation; strong automation, debugging, problem-solving, and interpersonal skills; understanding of physical design implementation.

Required

  • BS or MS in Electrical Engineering, Computer Engineering, or related fields (or equivalent experience)
  • 5+ years of experience in logic design implementation and/or physical design implementation
  • Strong automation skills
  • Good understanding of physical design implementation
  • Good debugging and problem-solving skills
  • Strong interpersonal skills

Preferred

  • Prior experience in implementation methodology
  • Proficiency in Python, Tcl, Java, C++ scripting

Original job description

Content provided by the employer

We are looking for an Implementation Methodology Engineer to join NVIDIA VLSI team. If you are looking for a challenging and exciting role and you are a self-starter and highly motivated individual who loves to collaborate and find solutions to hard technical problems, join us today!

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled 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 that are hard to pursue, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. 

What you’ll be doing:

  • You will be responsible for all aspects of front-end design implementation methodologies (synthesis, formal-equivalence-checking), flow automation and application support.

  • Develop in house solutions to improve NVIDIA's workflows.

  • You will collaborate with logic designers, physical designers to solve exciting implementation issues and develop new solutions. 

  • Provide support for EDA tools and flows

What we need to see:

  • BS or MS in Electrical Engineering, Computer Engineering, or related fields (or equivalent experience).

  • 5+ years of experience in logic design implementation and/or physical design implementation

  • Strong automation skills 

  • Good understanding of physical design implementation eg: physical synthesis, placement, routing, logic restructuring, etc.

  • Good debugging and problem-solving skills

  • Strong interpersonal skills along with the ability to work in a dynamic team

Ways to stand out from the crowd : 

  • Prior experience in implementation methodology

  • Proficiency in Python, Tcl, Java, C++ scripting

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and dedicated people in the world working for us. Are you creative and autonomous? Do you love the challenge of constant innovation and creating the highest performance products in the industry? If so, we want to hear from you. Come, join NVIDIA VLSI team and help build the real-time, cost-effective computing platform driving our success across multiple fields such as Deep Learning and AI, Robotics and Autonomous Driving, Gaming and High Performance Computing. 

#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.

Applications for this job will be accepted at least until May 31, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

NVIDIA

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.