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Senior Software Engineer, Datacenter Modeling

A love of technology and passion for your work! Imagine crafting AI and computing at one of the most innovative companies in the world. At NVIDIA, we are redefining industries with our groundbreaking advancements in High-Performance Computing, Artificial Intelligence, and Visualization. Our GPUs, the visual cortex of modern computers, are at the core of revolutionary technologies from AI to autonomous vehicles. Join us in pushing the boundaries of what's possible, enabling extraordinary creativity and discovery, and turning science fiction into reality. We are seeking visionary software engineers to design and develop models for the next generation of GPU-accelerated datacenters.

What you'll be doing:

  • Guiding the fundamental design, architecture, and implementation of modeling software used to define datacenter-scale accelerated computing platforms.

  • Promoting modern software architecture design patterns and tools to speed up development, boost performance, and improve code quality for the team.

  • Implementing industry-leading software and dev-ops standard methodologies tailored for rapidly growing teams, encouraging a culture of continuous improvement and innovation.

  • Making hands-on and significant contributions to a business-critical codebase, directly impacting cloud and datacenter technologies.

What we need to see:

  • Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS preferred).

  • 5+ years of development experience with scaled Python-based projects, demonstrating strong software engineering and analytical skills.

  • Excellent interpersonal skills with a track record of success contributing within multi-discipline teams.

Ways to stand out from the crowd:

  • Familiarity with system architecture and modeling, especially performance, power, or cost of distributed systems

  • Experience with hyperscale accelerated server architecture design and deployment

  • Background in parallel computing, server architecture, or datacenter design.

  • An excitement and curiosity about the future of accelerated computing and AI.

  • Expertise in data analysis and visualization, especially pandas and associated technologies

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 27, 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.

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Average salary estimate

$217750 / YEARLY (est.)
min
max
$148000K
$287500K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.

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CULTURE VALUES
Customer-Centric
Mission Driven
Inclusive & Diverse
Rise from Within
Diversity of Opinions
Work/Life Harmony
Growth & Learning
Transparent & Candid
BENEFITS & PERKS
Medical Insurance
Paid Time-Off
Maternity Leave
Mental Health Resources
Equity
Child Care stipend
Paternity Leave
WFH Reimbursements
Flex-Friendly
Dental Insurance
Vision Insurance
Life insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
401K Matching
Military leave
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, onsite
DATE POSTED
October 23, 2025
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