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. 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, 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. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is seeking an experienced software engineer to join the Cloud Foundations Automation team. Our team builds and operates the core infrastructure services that power NVIDIA's DGX Cloud and SuperPod deployments, delivering secure, reliable, and observable platforms at global scale.
What you'll be doing:
Build and operate core infrastructure services that power NVIDIA's global AI infrastructure.
Architect and develop secure, scalable and highly available cloud-native platform services.
Develop software that enables infrastructure orchestration, self-service workflows, and platform automation.
Own integrations with internal and external platforms to automate infrastructure provisioning and lifecycle management.
Build observability and security capabilities that improve the reliability and resilience of our infrastructure.
Partner with infrastructure and networking teams to deliver production services at scale.
Drive operational excellence through automation, monitoring, incident response, and continuous improvement.
What we need to see:
BS or equivalent experience with 8+ years of relevant industry experience.
Strong proficiency in Python and Go, with experience building production-quality software.
Experience building cloud-native microservices and APIs on Kubernetes using frameworks such as FastAPI, gRPC, or REST.
Experience with infrastructure automation (Terraform, Ansible), workflow orchestration (Temporal), and distributed systems using databases, Redis, and messaging platforms (Kafka, NATS, SQS).
Experience designing, building, and operating production infrastructure services such as DNS, NTP, AAA (RADIUS/OAuth), and observability platforms.
Strong Linux fundamentals with experience in observability (Prometheus, Grafana, OpenTelemetry, gNMI), networking (BGP, switching, routing, load balancing), and security (VPNs, firewalls, iptables/nftables).
Excellent problem-solving, communication, and collaboration skills.
Ways to stand out from the crowd:
Hands-on experience with network infrastructure including switches, routers, and firewalls.
Familiarity with InfiniBand, RDMA, and AI/HPC networking.Experience with NetBox, Nautobot, or similar network source of truth platforms.
Contributions to open-source software. Experience with public cloud platforms.
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 an inclusive 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
- BS or equivalent experience with 8+ years of relevant industry experience.
- Strong proficiency in Python and Go, with experience building production-quality software.
- Experience building cloud-native microservices and APIs on Kubernetes using frameworks such as FastAPI, gRPC, or REST.
- Experience with infrastructure automation (Terraform, Ansible).
- Experience with workflow orchestration (Temporal).
- Experience with distributed systems using databases, Redis, and messaging platforms (Kafka, NATS, SQS).
- Experience designing, building, and operating production infrastructure services such as DNS, NTP, AAA (RADIUS/OAuth), and observability platforms.
- Strong Linux fundamentals and experience in observability (Prometheus, Grafana, OpenTelemetry, gNMI).
- Networking experience (BGP, switching, routing, load balancing).
- Security experience (VPNs, firewalls, iptables/nftables).
- Excellent problem-solving, communication, and collaboration skills.
- Hands-on experience with network infrastructure (switches, routers, firewalls).
- Familiarity with InfiniBand, RDMA, and AI/HPC networking.
- Experience with NetBox, Nautobot, or similar network source-of-truth platforms.
- Contributions to open-source software and experience with public cloud platforms.
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.”
