Lead System Software Engineer, CPU and GPU Performance Visualization Tools

Reposted 9 Days Ago
Be an Early Applicant
3 Locations
In-Office
224K-426K
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead the design and development of advanced CPU and GPU performance visualization tools, collaborating with cross-functional teams to optimize workflows for high-performance computing and machine learning applications.
Summary Generated by Built In

NVIDIA's products, hardware and software, are world leaders for performance and efficiency. We are continually innovating in creative and unique ways to improve our ability to deliver extraordinary 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 Development 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:

  • Partner with system architects, product definition engineers, software/firmware engineers, HW/SW applications engineers and operations, in a multifaceted, dynamic, high-energy work environment to bring industry-defining products to market.

  • Recommending options and advocating for the needs of profiling tools in hardware development discussions. Providing explanation of and use cases for new hardware feature exposure in software development tools.

  • Design & build the premiere multi-discipline GPU+CPU+networking profiling tool in the industry. You will have the opportunity to work with researchers and real world developers who are doing important work to improve computers and computing systems.

  • Build software tools that enable developers across a spectrum of markets to optimize their workflows; enable complex computer systems doing ongoing work in High Performance Computing(HPC), Machine Learning, Deep Learning, Artificial Intelligence, Autonomous Machines, pro-visualization, and even entertainment. Enable work in tiny embedded and automotive systems. Our tools span the gamut.

  • Your day to day work will still contain 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.

What we need to see:

  • BS, MS, or PhD in EE, CE, CS, or Systems Engineering (or equivalent experience).

  • 12+ years of experience in a related hardware/software position.

  • Excellent problem solving, collaborative, and interpersonal skills. Experience working with international teams preferred.

  • Experience creating monitoring, profiling, or optimization software tools for developers working on large scale systems.

Ways to stand out from the crowd:

  • Experience with multiple architectures (x86, ARM, Power) or multiple operating systems (Windows, Linux, macOS).

  • Proven track record of crafting engineering designs, driving them to consensus within teams, and bringing them to fruition.

  • Understanding of the intricacies of complex computer hardware and how that affects performance. Experience working collaboratively with chip design engineers a major plus.

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!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 425,500 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 5, 2025.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

C,C++,Python
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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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