4 days ago
Base Salary
$168k - $322k/yr
Responsibilities
- Build and operate core infrastructure services powering NVIDIA’s global AI infrastructure.
- Architect and develop secure, scalable, highly available cloud-native platform services.
- Develop software for infrastructure orchestration, self-service workflows, and platform automation.
- Own integrations that automate infrastructure provisioning and lifecycle management.
- Build observability and security capabilities to improve infrastructure reliability and resilience.
- Partner with infrastructure and networking teams to deliver production services at scale.
- Drive operational excellence through automation, monitoring, incident response, and continuous improvement.
Requirements
- BS or equivalent experience and 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 FastAPI, gRPC, or REST.
- Experience with Terraform, Ansible, Temporal, databases, Redis, Kafka, NATS, and SQS.
- Experience designing, building, and operating production infrastructure services such as DNS, NTP, AAA, RADIUS, and OAuth.
- Strong Linux fundamentals and experience with Prometheus, Grafana, OpenTelemetry, gNMI, BGP, switching, routing, load balancing, VPNs, firewalls, and iptables/nftables.
- Excellent problem-solving, communication, and collaboration skills.
- Hands-on network infrastructure experience with switches, routers, and firewalls is a plus.
- Familiarity with InfiniBand, RDMA, AI/HPC networking, NetBox, Nautobot, open-source contributions, or public cloud platforms is a plus.
Benefits
- Eligible for equity and benefits.
- Base salary varies by location, experience, and comparable employee pay.
- Applications accepted at least until September 13, 2026.
Tech Stack
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.