Senior Software Engineer, CAD Tool Development - Circuits

Posted 2 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
136K-265K Annually
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop EDA/CAD tools for circuit design, support multi-functional teams, handle full tool lifecycle, and utilize software engineering practices.
Summary Generated by Built In

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 currently looking for a Software/CAD Tool Engineer to join our team! In this role you'll be building solutions to boost productivity and efficiency of our custom circuit designs. You will be engaging with multi-functional teams to ensure the robustness of the designs that will have direct impact across all product lines.

What you'll be doing:
  • Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon hardware design and related data
  • Supporting projects with applications ranging from silicon data analysis, process variation analysis, VLSI design analysis, timing analysis etc.
  • Employ good software engineering practices to develop leading-edge EDA/CAD tools for chip development
  • Work closely with Backend engineers to support the existing development infrastructure, identify possible improvements and solutions
  • You will be directly responsible for the full life-cycle of tool development including data storage design, UI design, testing, development, deployment, and maintenance.
  • Work with other team members and other DA teams to bring state of the art software solutions and practices to the team
What we need to see:
  • B.Sc./M.Sc. preferred in Computer Science/Engineering or equivalent experience
  • 3+ years of relevant experience
  • Good programming skills in multiple languages ( C++, Tcl, Python, or other scripting languages (such as Perl, Shell).)
  • Prior experience with tool development including GUI, database management, testing and deployment is required
  • familiarity with AI tools to improve productivity and impact
  • Personal: good interpersonal skills, quick learner, proactive, innovative, highly motivated, and committed.
Ways to stand out from the crowd:
  • Knowledge of EDA tools like ICC2, Design Compiler, PrimeTime, and Innovus is plus.
  • Previous work with VLSI, ASIC. EDA, Silicon data is a definite plus
  • Enjoy working with multiple levels and teams across organizations
  • Effective interpersonal and technical presentation skills
  • Self-starter with passion for growth, real enthusiasm for continuous learning and sharing findings across the team

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

#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 26, 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.

Skills Required

  • B.Sc./M.Sc. preferred in Computer Science/Engineering or equivalent experience
  • 3+ years of relevant experience
  • Good programming skills in multiple languages (C++, Tcl, Python, or scripting languages)
  • Prior experience with tool development including GUI, database management, testing and deployment
  • Familiarity with AI tools to improve productivity and impact

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.

  • 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.
  • 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.
  • 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

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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