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Principal Software Engineer

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 Principal 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:

  • Lead initiatives to transform IT Compute platform architecture to build new service offerings across On-Prem & Cloud.

  • Define and implement metrics to measure the efficiency of compute platforms & services and drive efficiency.

  • 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.

  • Develop and maintain tools for collecting, analyzing, and visualizing data for reporting, alerting, monitoring.

  • 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:

  • Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field, or equivalent experience

  • 15+ years of proven experience in compute platform engineering with a focus on automation.

  • Proven experience in designing and deploying virtualization architectures

  • In-depth knowledge of hardware technologies, including SR-IOV, DPU, and GPU, with a track record of implementing these in virtualized and containerized environments.

  • Proven experience evaluating existing application architectures and identify opportunities for containerization to improve scalability, reliability, and efficiency.

  • Strong analytical skills with the ability to define and track key performance metrics.

  • Experience in developing tools for data analysis and performance profiling, Development with Terraform, Config Management tools.

  • Proficiency in programming languages such as Go and/or Python.

  • Experience with running large environments consisting of BareMetal, large scale virtualized environments with a mix of tens of thousands of VM’s and cloud infrastructure.

Ways To Stand Out From The Crowd:

  • Deep understanding of other infrastructure components like Storage, DNS, LDAP, Security Tools etc..

  • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

  • 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!

#LI-Hybrid

The base salary range is 248,000 USD - 391,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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

$319500 / YEARLY (est.)
min
max
$248000K
$391000K

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What You Should Know About Principal Software Engineer, NVIDIA

Are you ready to take your career to the next level? NVIDIA is seeking a Principal Software Engineer to join our team in Santa Clara, California, where we’re pushing the boundaries of technology! With over 30 years of experience in computer graphics, PC gaming, and accelerated computing, we're not just looking for any engineer; we want someone who is ready to innovate and lead. In this role, you will spearhead initiatives to transform the Compute platform architecture, innovate new service offerings, and optimize both on-premises and cloud solutions. Imagine analyzing system data, measuring efficiency, and collaborating with some of the brightest minds in the industry! We need leaders who can work closely with NVIDIA’s leadership and product teams to create cutting-edge IT products that really meet customer needs. With a background in compute platform engineering—ideally over 15 years—you'll be instrumental in deploying virtualization architectures and identifying opportunities for containerization. If you excel at utilizing tools for data analysis and are proficient in programming with languages like Go or Python, this might be your dream job! Join us at NVIDIA, where innovation meets a diverse, supportive environment designed for the best talents to thrive.

Frequently Asked Questions (FAQs) for Principal Software Engineer Role at NVIDIA
What are the key responsibilities of a Principal Software Engineer at NVIDIA?

As a Principal Software Engineer at NVIDIA, your main responsibilities include leading initiatives to transform IT Compute platform architecture and developing new service offerings across both on-premises and cloud environments. You will also define metrics for efficiency, analyze capacity data, develop maintenance tools, and heavy collaboration with engineering and product teams to create compelling IT solutions.

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What qualifications do I need to apply for the Principal Software Engineer position at NVIDIA?

To qualify for the Principal Software Engineer role at NVIDIA, you should have a Bachelor's degree in Engineering, Computer Science, Mathematics, or related fields. Additionally, having over 15 years of proven experience in compute platform engineering and expertise in virtualization architectures and hardware technologies like SR-IOV and GPU is essential.

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What programming languages are required for the Principal Software Engineer role at NVIDIA?

In the Principal Software Engineer position at NVIDIA, proficiency in programming languages such as Go and/or Python is a must. These languages are crucial for developing the tools needed for data analysis, automation, and performance profiling in our innovative computing environment.

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What tools will I be working with as a Principal Software Engineer at NVIDIA?

As a Principal Software Engineer at NVIDIA, you will be working with automation and configuration management tools, data analysis tools, and cloud platforms like AWS, Azure, or Google Cloud. Experience with Terraform and similar tools will also be valuable in your role.

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What is the salary range for the Principal Software Engineer position at NVIDIA?

The salary range for the Principal Software Engineer at NVIDIA is between 248,000 USD and 391,000 USD. Your specific salary will depend on your location, experience, and market data of similar roles. Additionally, you’ll be eligible for equity and benefits.

Join Rise to see the full answer
Common Interview Questions for Principal Software Engineer
Can you describe your experience in compute platform engineering?

In your response, highlight your years of experience, focusing on specific projects or achievements where you successfully implemented compute platforms. Mention technologies used and how you utilized them to drive efficiency or innovation.

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How have you integrated automation into your previous roles?

Share detailed examples of how you've implemented automation in past projects. Discuss the tools you used and the measurable outcomes that resulted, such as improved efficiency or reduced errors.

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What strategies do you use to optimize virtualized environments?

Discuss your approach to evaluating existing architectures, highlighting specific techniques or methodologies you've employed to improve scalability and performance. Providing a successful case study will strengthen your answer.

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How do you approach collaboration with cross-functional teams?

Emphasize your communication skills and experiences working with diverse teams, including engineering, product management, and leadership. Share anecdotes that demonstrate successful collaborations and outcomes.

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Can you explain your understanding of microservices architecture?

Describe microservices architecture clearly and concisely. Include how you have applied it in past projects and the benefits it offered, such as increased flexibility or scalability.

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How have you measured performance metrics in your past roles?

Provide specific examples of key performance indicators (KPIs) you've tracked in previous roles, focusing on how these metrics guided your decision-making. Include tools you've utilized for measurement.

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What is your process for evaluating existing application architectures?

Outline your evaluation process for application architectures, touching on aspects like performance, scalability, and reliability. Highlight any assessment frameworks or tools you've employed.

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Describe a challenging project you led. What was your approach?

Share a compelling story involving a challenging project, detailing the difficulties faced, the strategies you employed to overcome them, and the final results achieved. Focus on your leadership skills and team efforts.

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How do you stay current with industry trends and technologies?

Mention specific resources, such as blogs, industry publications, or conferences, that you engage with to stay updated on trends. Discuss how this ongoing learning has positively impacted your work.

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What cloud platforms have you worked with, and can you explain your experience?

Discuss your hands-on experience with cloud platforms like AWS, Azure, or Google Cloud. Mention specific projects or tasks that highlight your expertise and how they benefited your team.

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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, hybrid
DATE POSTED
April 11, 2025

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