Job description

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. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 2, 2026. 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.

Requirements

Must-haves

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.
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.
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 .
Applications for this job will be accepted at least until October 2, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

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Keywords to mirror

aipythongokubernetesrest

Platform: eightfold
Effort: medium

Benefits

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