System Software Engineer, HPC Performance

Posted 5 Days Ago
Be an Early Applicant
3 Locations
In-Office
152K-242K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and enhance network hardware and software profiling tools using C/C++ and Python. Collaborate with customers, architects, hardware and software engineers, and operations teams to define requirements, design solutions, and deliver tools for optimizing complex GPU, CPU, and networking systems across HPC, cloud, AI, embedded, and automotive environments.
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:

  • This position will be enhancing and expanding network hardware and software profiling tools. Implementation will be primarily in C/C++ with some Python for analysis scripting. 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.

  • 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.

  • Be involved with 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.

What we need to see:

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

  • Minimum of 5 years of service 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. This includes both classic HPC and cloud computing environments.

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 with low level hardware a major plus.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 29, 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

  • BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or equivalent experience
  • At least 5 years of experience in a related hardware or software position
  • Experience creating monitoring, profiling, or optimization software tools for developers working on large-scale systems
  • Experience with classic high-performance computing and cloud computing environments
  • Excellent problem-solving, collaborative, and interpersonal skills
  • Experience working with international teams
  • Experience with x86, ARM, or Power architectures
  • Experience with Windows, Linux, or macOS
  • Track record of creating engineering designs, building team consensus, and delivering solutions
  • Understanding of complex computer hardware and its effect on performance
  • Experience with low-level hardware

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 Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

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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