Jobs
Benefits & Perks
•Equity
•Equity
Required Skills
Go
Python
Terraform
Virtualization
Automation
NVIDIA has been reinventing computer graphics, PC gaming, and accelerated computing for 30 years. It is 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, generative AI, 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.
We are seeking a highly skilled Senior Staff Software Engineer to join our dynamic team. Our company is at the forefront of technological innovation, and we are dedicated to driving efficiency and optimizing the performance of our infrastructure both on-prem and cloud. Join us in this exciting endeavor!
What You Will Be Doing:
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Lead initiatives to transform IT Compute platform architecture to build new service offerings across On-Prem & Cloud.
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Define and implement metrics to measure the efficiency of compute platforms & services and drive efficiency.
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Collect and review system data for capacity and planning purposes, analyze capacity data and develop plans for appropriate level enterprise-wide systems, and coordinate with management personnel in implementing changes.
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Develop and maintain tools for collecting, analyzing, and visualizing data for reporting, alerting, monitoring.
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Collaborate with NVIDIA leadership, senior engineers, program managers, and product managers to develop compelling IT products and services that meet customer needs.
What We Need To See:
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Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field, or equivalent experience
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12 years of proven experience in compute platform engineering with a focus on automation.
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Proven experience in designing and deploying virtualization architectures
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In-depth knowledge of hardware technologies, including SR-IOV, DPU, and GPU, with a track record of implementing these in virtualized and containerized environments.
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Proven experience evaluating existing application architectures and identify opportunities for containerization to improve scalability, reliability, and efficiency.
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Strong analytical skills with the ability to define and track key performance metrics.
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Experience in developing tools for data analysis and performance profiling, Development with Terraform, Config Management tools.
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Proficiency in programming languages such as Go and/or Python.
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Experience with running large environments consisting of Bare Metal, large scale virtualized environments with a mix of tens of thousands of VM’s and cloud infrastructure.
Ways To Stand Out From The Crowd:
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Deep understanding of other infrastructure components like Storage, DNS, LDAP, Security Tools etc..
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Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
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Solid understanding of microservices architecture, infrastructure as code (IaC) and configuration management tools.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you are creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until February 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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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About NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
Employees
Santa Clara
Headquarters
$4.57T
Valuation
Reviews
4.1
10 reviews
Work Life Balance
3.5
Compensation
4.2
Culture
4.3
Career
4.5
Management
4.0
75%
Recommend to a Friend
Pros
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
Cons
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
Salary Ranges
47 data points
Junior/L3
Mid/L4
Junior/L3 · Analyst
7 reports
$170,275
total / year
Base
$130,981
Stock
-
Bonus
-
$155,480
$234,166
Interview Experience
7 interviews
Difficulty
3.1
/ 5
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
News & Buzz
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
News
·
NaNw ago
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
News
·
NaNw ago
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
News
·
NaNw ago
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
News
·
NaNw ago