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:
Lead the build and development of next-generation APIs, state management, and workflow orchestration systems that automate fleet lifecycle operations at a massive scale.
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.
Act as a force-multiplier by coaching, mentoring, and encouraging senior engineers, elevating the technical standards and guidelines across the organization.
Maintain an incredible focus on the customer experience and product requirements, translating deep technical insight into high-impact business solutions.
Partner with executive and engineering leadership to codify critical business processes into self-measuring, scalable, and operationally consistent platforms, drastically reducing manual toil.
Direct the integration strategy for key technologies, including common AI schedulers (e.g., Kubernetes, Slurm) and innovative observability systems (e.g., Prometheus, OpenTelemetry, Grafana).
What We Need To See:
16+ years of progressive industry experience
Master's or Bachelor's degree, or equivalent experience defining and shipping complex distributed systems.
Deep, hands-on expertise in establishing, operating, and scaling services in a fast paced, high-reliability environment.
Thrive in ambiguous, fast paced environments by rapidly testing ideas, iterating toward working solutions, and then hardening the winners into reliable, scalable systems.
Outstanding proficiency in modern systems programming languages such as Go, Java, or Python.
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.
Deep understanding of global cloud infrastructure (AWS, GCP, Azure) and container ecosystems (Docker, Kubernetes).
Demonstrated ability to drive technical strategy and influence outcomes across organizational boundaries.
Outstanding ability to communicate complex technical concepts, drive organizational consensus, and mentor high-performing engineers.
Ways to Stand Out from the Crowd:
A history of successfully leading the development and adoption of organization-wide workflow orchestration systems for petabyte-scale infrastructure.
Experience in a Principal/Staff+ capacity, delivering measurable improvements in operational efficiency, reliability, and security across a large engineering org.
Deep familiarity with the operational and deployment aspects of the NVIDIA AI/ML software stack (CUDA, cuDNN, containerization).
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.
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.Skills Required
- 16+ years of industry experience
- Master's or Bachelor's degree or equivalent experience in complex distributed systems
- Expertise in operating and scaling services in high-reliability environments
- Proficiency in systems programming languages such as Go, Java, or Python
- Experience with cloud infrastructure (AWS, GCP, Azure) and container ecosystems (Docker, Kubernetes)
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
