Senior Systems Software Engineer, Advance Technology Group

Details

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.

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.

Responsibilities

• Work with leading technologists to build advanced computational methods for semiconductor manufacturing and design.
• Exploit the potential of the GPU to dramatically accelerate these software solutions.
• Keep the cadence of semiconductor innovation alive by accelerating semiconductor yield and time to market.

Requirements

• 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 invention of computer algorithms.
• Experience in developing and delivering complex software solutions for enabling or improving semiconductor fabrication and design.
• Proven ability to scale software to efficiently utilize millions of compute hours and process petabytes of data.

Preferred Qualifications

• Deep understanding of technology and passion for the field.
• Strong collaborative and interpersonal skills, capable of effectively guiding and influencing within a dynamic matrix environment.

Benefits

• Competitive base salary depending on location, experience, and peers.
• Eligibility for equity and benefits.
• Employment at an innovative, diverse, and inclusive technology company recognized worldwide.