Senior Software Engineer, At Scale Compute Analysis

NVIDIA AI; Santa Clara (CA); On-site; USD 152,000 - 241,500; Full time

Job summary

NVIDIA is seeking a data-analytics-focused engineer in Santa Clara to drive large-scale workload analyses and derive actionable insights from complex datasets. You will collaborate with engineering and leadership to translate observations into concrete improvements and scalable visualizations.

You will apply Python and JavaScript skills, utilize telemetry stacks, and leverage ML concepts to build end-to-end analyses. This role emphasizes collaboration and a results-driven, autonomous work style.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

JavaScript

Data analysis

Telemetry

Communication

ML fundamentals

Education

BS/MS in Engineering, Mathematics, Physics, CS

Tools

Grafana

Elasticsearch

Splunk

Job description

Job Requisition ID
JR1999730
Job Category
Engineering
Time Type
Full time
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

h3 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 is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

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 July 20, 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.