Senior Backend Platform Engineer

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, we are increasingly known as “the AI computing company.”Are you willing to challenge yourself and build phenomenal software alongside some of the smartest people in the world? Join us at the forefront of technological advancement. We’re hiring a Senior Backend/Platform Engineer to build and maintain the core infrastructure behind NVIDIA Brev. You’ll develop reliable cloud services, control planes, and execution environments that enable developers to access accelerated computing infrastructure across clouds. This is a high-impact role for an engineer who enjoys solving complex infrastructure problems, operating production systems, and building platforms that other engineers depend on!What You’ll Be Doing:Design, build, and operate production backend services and infrastructure in GoDevelop platform capabilities for provisioning, managing, and executing workloads across cloud environmentsBuild reliable control planes, APIs, schedulers, and infrastructure automationWork deeply with Linux, Kubernetes, containers, networking, and public cloud infrastructureOwn systems throughout their lifecycle, including architecture, implementation, deployment, observability, incident response, and continuous improvementSolve distributed-systems challenges involving state, concurrency, multi-tenancy, workload isolation, failure recovery, and scalabilityBuild infrastructure and platform primitives used by other engineers and developer-facing products, and establish best practices for system design, code quality, testing, reliability, and production operationsCollaborate across engineering and product teams to translate complex infrastructure requirements into simple, dependable developer experiencesWhat We Need to See:B.S. degree or equivalent experience8+ years of relevant software engineering experience, with flexibility for exceptional candidatesStrong professional experience developing production systems in Go, Linux systems knowledge and the ability to debug across system layersStrong networking fundamentals, including TCP/IP, DNS, routing, proxies, VPNs, and load balancingHands-on experience with Kubernetes and containerized workloads, and building infrastructure on AWS, GCP, or AzureBackend or platform engineering experience with production systems and strong distributed-systems fundamentals, including consistency, fault tolerance, concurrency, and failure handlingExperience building infrastructure, developer platforms, cloud services, or shared systems that other engineers depend onA track record of owning reliability and operational outcomes in addition to feature deliveryWays to Stand Out from the Crowd:Experience with Temporal or another durable workflow orchestration systemExperience designing multi-tenant platforms, control planes, or schedulersKnowledge of VM lifecycle management, remote execution environments, or sandbox and isolation technologiesExperience with observability, reliability engineering, capacity planning, or infrastructure automation and building AI agent platforms or developer execution environmentsExperience building and operating GPU infrastructure, including GPU provisioning, scheduling, orchestration, or workload managementNVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the world's most forward-thinking and hardworking people on our team. If you're creative and autonomous, we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until July 21, 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.