Senior Systems Software Engineer - Advanced Technology Group

Reposted 5 Days Ago
Be an Early Applicant
Hillsboro, OR, USA
Hybrid
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves developing advanced computational methods for semiconductor manufacturing, leading innovation, and scaling software for high data processing needs.
Summary Generated by Built In

NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice, join our diverse team today!
 

The Advanced Technology Group is looking for a highly motivated Senior Systems Software Engineer to join our group. Do you have a proven software development background in advanced computational methods for semiconductor manufacturing and design? Are you seen as a technical leader and an industry expert in several of the underlying fields, such as massively distributed computing, computational geometry, diffractive optics, and artificial intelligence? If yes, then we’d love to hear from you! The job requires creating strategy, driving industry-leading innovation, and working in lean teams to realize these strategies, from invention to production. This role will be located in Hillsboro, Oregon.

What you'll be doing:

  • Working with some of the best technologists in the world to build industry-leading advanced computational methods for semiconductor manufacturing and design.

  • Exploiting the potential of the GPU to dramatically accelerate these software solutions.

  • Ultimately, keeping the cadence of semiconductor innovation alive by accelerating semiconductor yield and time to market.

What we need to see:

  • MS (PhD preferred) in Computer Science or Engineering or equivalent experience.

  • 5+ years of research/industry experience

  • A track record of innovation, for example by the invention of computer algorithms.

  • Experience in developing and delivering complex software solutions for enabling or improving semiconductor fabrication and design.

  • A track record of scaling up software to a level that efficiently utilizes millions of compute hours, and processes petabytes of data.

Ways to stand out from the crowd:

  • Deep understanding of technology and passionate about what you do.

  • Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. It’s not just technology though! It is our people, some of the brightest in the world, and our company and diverse culture that make NVIDIA one of the most fun, innovative and dynamic places to work in the world! At the center of NVIDIA's culture are our core values - like innovation, excellence and determination, and one team - that guide us to be the best we can be.
#LI-Hybrid

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 8, 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

  • MS in Computer Science or Engineering or equivalent experience
  • 5+ years of research/industry experience
  • Track record of innovation through the invention of computer algorithms
  • Experience in developing and delivering software solutions for semiconductor fabrication and design
  • Ability to scale software for millions of compute hours and petabytes of data

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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

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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