NVIDIA Corporation

System Software Engineer - Performance Lab

NVIDIA Corporation$184K — $356K *
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Engineering, Software Engineering, Computer Science, or related field (or equivalent experience) with 8+ years of experience.
  • Desire to enhance code quality through application of computer science principles, algorithms, and data structures.
  • Good collaboration skills and willingness to work across different teams.
  • Proficient in Python programming.
  • Experience in a Linux command-line environment and familiar with version control systems.
  • Basic understanding of the machine learning lifecycle (training, evaluation, inference).

Responsibilities

  • Develop and maintain containerized GPU workloads for financial services, including deep learning tasks and portfolio analysis.
  • Run and analyze benchmarking models on high-performance computing clusters.
  • Create visualizations and dashboards to represent performance data effectively.
  • Collaborate with teams to build reference models for NVIDIA using advanced financial AI tools.

Benefits

  • Comprehensive benefits package for employees and their families.
  • Access to highly competitive salaries tailored to experience and location.
  • Eligibility for equity options.
Full Job Description
We are looking for you to join NVIDIA's Performance Lab where you will be encouraged to craft and build outstanding software solutions that challenge NVIDIA products in new ways. Our team values passion, and positive interactions with teammates. We offer the opportunity to work on cutting edge technologies in the fields of AI, Graphics Rendering, and Datacenters.

What you'll be doing:
  • Writing and maintaining containerized GPU accelerated workloads for the financial services industry, from deep learning training and inference, to portfolio optimization and backtesting.
  • Running, validating, and analyzing benchmarking models at scale on HPC clusters.
  • Visualizing performance data, building charts and dashboards using internal schemas and tooling.
  • Working closely with the latest and greatest in financial AI models and tooling to help build reference models for NVIDIA.


What we need to see:
  • Bachelors degree in Computer Engineering, Software Engineering, Computer Science, or related field (or equivalent experience) with 8+ years of experience.
  • Desire to improve code quality by learning and applying computer science fundamentals, algorithms, and data structures.
  • Comfort with teamwork, collaboration, and a desire to reach across functional borders to develop new partnerships.
  • Professional experience with Python.
  • Working comfort in a Linux command-line environment with version control.
  • Foundational understanding and interest of the machine learning lifecycle (training, evaluation, and inference).


Ways to stand out from the crowd:
  • Familiarity with PyTorch and/or training, testing, and evaluating machine learning models.
  • Experience with GPU computing or CUDA and libraries like cuOPT, CUTLASS, cuDNN, etc.
  • Exposure to workload orchestration and job schedulers (Kubernetes, Slurm).
  • Experience with containerized applications and resource management.
  • Interest in quantitative finance and applying performance data to real-world problems.


Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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