Senior DFX Infrastructure Engineer

Reposted 23 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
196K-368K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves developing and deploying internal infrastructure tools for ATE test vector release, supporting silicon bringup, and debugging existing code. Candidates are expected to have extensive experience with ATE systems and strong scripting abilities, particularly in Perl and Python.
Summary Generated by Built In

NVIDIA is the leader in AI, machine learning, and datacenter acceleration. NVIDIA is growing that leadership into datacenter networking. This includes ethernet switches, NICs, and DPUs. NVIDIA has reinvented itself continuously over two decades. Our invention of the GPU in 1999 fueled PC gaming growth, redefined modern computer graphics, and changed parallel computing. More recently, GPU deep learning sparked modern AI, the next computing era. NVIDIA is a “learning machine” that evolves by adapting to new, difficult opportunities that only we can solve and that matter globally. This is our life’s work: to amplify human imagination and intelligence. Make the choice, join our diverse team today.

We are now looking for a highly motivated and dedicated Senior DFT Infrastructure Engineer to join our DFX group. You will join this multifaceted and innovative DFX team to develop the next generation of scalable, detailed tools and workflows. These tools will support various Silicon bringup and FA teams.

What you’ll be doing:

  • Build, develop, test, and deploy internal infrastructure tools for ATE test vector release and fail analysis/diagnosis flows

  • Work with DFT or equivalent experience, ATE bringup, Silicon FA teams

  • Build regression testcases to ensure flow robustness

  • Support silicon bringup teams to ensure Bringup success

  • Develop code to integrate new features into current tools

  • Resolve tool bugs, check in and deploy fixes

What we need to see:

  • BS degree in Computer Science or related technical field where coding, computer usage is required; proven ability in related field (or equivalent experience)

  • 10+ years of relevant experience

  • In depth ATE knowledge. Advantest 93k knowledge strongly desired, Teradyne Ultraflex preferred, and ability to use AI assistant tools

  • Excellent Perl, Python scripting skills. C++ knowledge is nice to have.

  • Track record showing consistently producing original scripts, code

  • Familiarity with SSN scan architecture, diagnostics flow

  • Ability to debug existing internal code base

  • Ability to independently work on your own

  • Collaborative with team members and other teams

Ways to stand out from the crowd:

  • Always look to help other teams

  • Be outstanding at delivering high quality tools

  • Be very detailed with checking own results

  • Communicate to others with clarity and thoughtfulness

  • Not afraid to work on new solutions

Our technology knows no limits! NVIDIA creates some of the world’s most innovative and groundbreaking compute platforms for global use. Our work helps scientists, researchers, and engineers push their ideas forward. At its core, our visual computing technology delivers an outstanding computing experience while remaining energy efficient. We developed a supercharged form of computing favored by the most fast-paced computer users worldwide—scientists, designers, artists, and gamers. But it’s not just about technology! Our people, among the brightest minds, and our diverse culture make NVIDIA one of the most fun, innovative, and dynamic workplaces in the world. NVIDIA’s culture centers on values like innovation, excellence, determination, and collaboration that drive us to excel.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 196,000 USD - 310,500 USD for Level 5, and 232,000 USD - 368,000 USD for Level 6.

You will also be eligible for equity and benefits.

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

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 degree in Computer Science or related technical field
  • 10+ years of relevant experience
  • In depth ATE knowledge, Advantest 93k desired
  • Excellent Perl scripting skills
  • Excellent Python scripting skills
  • C++ knowledge

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.

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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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