Senior Software Engineer, Datacenter Modeling

Reposted 6 Days Ago
Be an Early Applicant
3 Locations
In-Office
148K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves designing and developing modeling software for GPU-accelerated datacenters, improving software architecture and contributing to a codebase impacting cloud technologies.
Summary Generated by Built In

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 November 24, 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.

Top Skills

Data Analysis
Pandas
Python
Visualization
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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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