NVIDIA Corporation

Senior Software Engineer, At Scale Compute Analysis

NVIDIA Corporation$152K — $241K *
US-AnywhereIn-Person
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of experience in data debugging and analysis.
  • BS or MS in Engineering, Mathematics, Physics, or Computer Science.
  • Strong programming skills, particularly in Python and Javascript.
  • Familiarity with telemetry tools such as Grafana, ElasticSearch, and Splunk.
  • Solid understanding of core machine learning principles and techniques.
  • Proven analytical and problem-solving abilities.
  • Collaborative attitude with strong team-oriented skills.

Responsibilities

  • Analyze large scale workloads to identify application and infrastructure improvements.
  • Deliver actionable insights using high dimensional data to foster innovative solutions based on NVIDIA's technology.
  • Research and analyze data trends, crafting conclusions and visuals to aid decision-making.
  • Communicate analysis findings clearly and effectively with team members.
  • Apply machine learning techniques for classification and prediction, integrating outcomes into existing software tools.
  • Document processes and contributions to facilitate team knowledge sharing.”],
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Benefits

  • Health care coverage, dental and vision insurance.
  • 401(K) plan with company matching and after-tax contributions.
  • Employee Stock Purchase Program (ESPP).
  • Employee Assistance Program (EAP).
  • Company-paid holidays and paid sick leave.
  • Vacation leave and professional time off.
  • Life and disability insurance coverage.
Full Job Description
Join a team that analyzes large-scale datacenter workloads on GPU-accelerated clusters. You will turn telemetry and workload data into clear findings and visuals. You will partner with OS, container, GPU, and systems engineers. When useful, you will apply machine learning and deep learning techniques for categorization and forecasting. These will be coordinated into tools the team actually uses.

What you'll be doing:
  • Analyze large-scale workloads and infrastructure signals to find application and platform improvement opportunities.
  • Work with high-dimensional data: spot trends, tie changes to known events, summarize conclusions, and communicate results to engineers and leadership.
  • Partner with the team to clarify questions, scope analyses, and document methods so others can extend your work.
  • Build and maintain practical visualizations and lightweight implementations (e.g. ML/DL for classification/prediction) inside existing software workflows.


What we need to see:
  • 5+ years analyzing complex datasets, debugging data issues, and communicating trends clearly.
  • BS or MS in Engineering, Mathematics, Physics, Computer Science, or equivalent experience.
  • Strong Python and JavaScript;
  • Comfortable being responsible for an analysis end-to-end.
  • Hands-on use of telemetry / observability stacks (e.g. Grafana, Elasticsearch, Splunk).
  • Shown grasp of core ML concepts; quick learner; strong analytical and problem-solving skills.
  • Collaboration and communication.


Ways to stand out from the crowd:
  • TensorFlow or PyTorch
  • Linux and HPC / large-scale or performance-sensitive environments
  • Experience visualizing high-dimensional problems
  • Diligent, action-biased analysis style


NVIDIA also offers a comprehensive benefits package. We provide health care coverage, dental and vision, 401(K), including company matching and after tax contributions, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave, vacation leave, professional time off, life and disability protection.

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 June 16, 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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