NVIDIA's products, hardware and software, are world leaders for performance and efficiency. We are continually innovating in creative ways to improve our ability to deliver outstanding solutions across a wide range of sectors. We are seeking System Software Engineers who are passionate about what they do and are committed to making a difference in the world through their inventions. In the Software Developer Tools Team, we enable 1st & 3rd-party developers to turn NVIDIA's hardware into groundbreaking cluster, server, professional, consumer, automotive, and embedded solutions.
What you will be doing:
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Your day to day work will be coding, primarily in C/C++ with some Python. You'll work with customers and engineers across teams to explore problems, find solutions, write functional requirements docs and designs, drive execution, and deliver multi-functional software solutions.
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Enable modern data science computational frameworks on the industry's premiere multi-discipline GPU+CPU+networking profiling tool. You will have the opportunity to work with people across academia and industries improving applications and optimizing computing resource utilization.
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Build software tools that enable developers across a spectrum of markets to optimize their workflows; enable sophisticated, modern computer systems doing ongoing work in High Performance Computing(HPC), Machine Learning, Deep Learning, Artificial Intelligence, Autonomous Machines, pro-visualization, and even entertainment. Our tools are used to optimize systems that span the gamut from embedded systems to the largest of supercomputers.
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Work directly with HW/SW applications engineers and operations, in a multifaceted, dynamic, high-energy work environment to bring industry-defining products to market.
What we need to see:
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BS or MS in EE, CE, CS, or Systems Engineering (or equivalent experience).
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5+ years real life professional experience in distributed computing is required.
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Should have experience writing, enhancing, and architecting profiling tools.
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Excellent problem solving, collaborative, and interpersonal skills. Experience working with international teams preferred.
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Strong C/C++ knowledge required.
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Familiarity with computer algorithms, object oriented programming, data structures, and design patterns. Ability to divide sophisticated problems into simple sub problems and then reuse available solutions to implement the solutions.
Ways to stand out from the crowd:
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Experience CPU and GPU performance analysis tools.
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Experience leading engineering teams.
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Strong Python programming skills.
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Experience creating monitoring, profiling, or optimization software tools for developers working on large scale systems.
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Proven track record of crafting engineering designs, driving them to consensus within teams, and bringing them to fruition.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our diverse team of talented, capable, and professional people is our greatest asset! If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!
The base salary range is 148,000 USD - 276,000 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
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.”
