
Pioneering accelerated computing and AI
Principal Software Engineer - DGX Cloud at NVIDIA
About the role
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.
We are looking for a Principal Software Engineer to join our DGX Cloud team and build the foundational systems that drive NVIDIA’s high-performance GPU infrastructure. You will play a meaningful role in crafting scalable automation solutions, integrating diverse systems, and enabling seamless workflows across global cloud operations. As a Principal Engineer in DGX Cloud, you will be at the pinnacle of technical leadership. You will directly craft the platform that fuels the future of AI and cloud computing.
What you'll be doing:
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Lead the build and development of next-generation APIs, state management, and workflow orchestration systems that automate fleet lifecycle operations at a massive scale.
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Drive technical alignment across dependent systems and partner teams to ensure cohesive integration, clear interfaces, and reliable end-to-end workflows, with a strong focus on delivery.
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Act as a force-multiplier by coaching, mentoring, and encouraging senior engineers, elevating the technical standards and guidelines across the organization.
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Maintain an incredible focus on the customer experience and product requirements, translating deep technical insight into high-impact business solutions.
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Partner with executive and engineering leadership to codify critical business processes into self-measuring, scalable, and operationally consistent platforms, drastically reducing manual toil.
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Direct the integration strategy for key technologies, including common AI schedulers (e.g., Kubernetes, Slurm) and innovative observability systems (e.g., Prometheus, Open Telemetry, Grafana).
What We Need To See:
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16+ years of progressive industry experience
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Master's or Bachelor's degree, or equivalent experience defining and shipping complex distributed systems.
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Deep, hands-on expertise in establishing, operating, and scaling services in a fast paced, high-reliability environment.
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Thrive in ambiguous, fast paced environments by rapidly testing ideas, iterating toward working solutions, and then hardening the winners into reliable, scalable systems.
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Outstanding proficiency in modern systems programming languages such as Go, Java, or Python.
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Proven track record of defining, owning, and evolving the architecture of high-scale distributed systems, including advanced patterns for APIs, control planes, and data pipelines.
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Deep understanding of global cloud infrastructure (AWS, GCP, Azure) and container ecosystems (Docker, Kubernetes).
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Demonstrated ability to drive technical strategy and influence outcomes across organizational boundaries.
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Outstanding ability to communicate complex technical concepts, drive organizational consensus, and mentor high-performing engineers.
Ways to Stand Out from the Crowd:
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A history of successfully leading the development and adoption of organization-wide workflow orchestration systems for petabyte-scale infrastructure.
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Experience in a Principal/Staff+ capacity, delivering measurable improvements in operational efficiency, reliability, and security across a large engineering org.
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Deep familiarity with the operational and deployment aspects of the NVIDIA AI/ML software stack (CUDA, cuDNN, containerization).
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Patent contributions or a strong publication record in areas related to distributed systems, cloud computing, or infrastructure automation.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 3, 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.
Required skills
Software engineering
API design
Workflow orchestration
Distributed systems
Automation
Technical leadership
System integration
Mentoring
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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
10 reviews
4.4
10 reviews
Work-life balance
2.8
Compensation
4.5
Culture
4.2
Career
4.3
Management
3.8
78%
Recommend to a friend
Pros
Cutting-edge technology and innovation
Excellent compensation and benefits
Great team culture and collaboration
Cons
High pressure and expectations
Poor work-life balance and long hours
Fast-paced environment leading to burnout
Salary Ranges
79 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
7 reports
$170,275
total per year
Base
$130,981
Stock
-
Bonus
-
$155,480
$234,166
Interview experience
5 interviews
Difficulty
3.0
/ 5
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
Latest updates
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.
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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.
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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.
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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.
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