Senior Systems Software Engineer

Posted 10 Days Ago
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Hillsboro, OR
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Systems Software Engineer will develop and implement advanced computational methods for manufacturing using GPU technology, contributing to semiconductor yield efficiency. This role involves working collaboratively with top technologists and innovating software solutions that utilize massive compute resources and large datasets.
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 Principal Systems Software Engineer to join our group. Do you have a proven software development background in computational methods for advanced manufacturing? 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 computational methods for advanced manufacturing.

  • 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.

  • 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.

The base salary range is 148,000 USD - 356,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

Top Skills

Gpu
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The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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