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 Go
Develop platform capabilities for provisioning, managing, and executing workloads across cloud environments
Build reliable control planes, APIs, schedulers, and infrastructure automation
Work deeply with Linux, Kubernetes, containers, networking, and public cloud infrastructure
Own systems throughout their lifecycle, including architecture, implementation, deployment, observability, incident response, and continuous improvement
Solve distributed-systems challenges involving state, concurrency, multi-tenancy, workload isolation, failure recovery, and scalability
Build 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 operations
Collaborate across engineering and product teams to translate complex infrastructure requirements into simple, dependable developer experiences
What We Need to See:
B.S. degree or equivalent experience
8+ years of relevant software engineering experience, with flexibility for exceptional candidates
Strong professional experience developing production systems in Go, Linux systems knowledge and the ability to debug across system layers
Strong networking fundamentals, including TCP/IP, DNS, routing, proxies, VPNs, and load balancing
Hands-on experience with Kubernetes and containerized workloads, and building infrastructure on AWS, GCP, or Azure
Backend or platform engineering experience with production systems and strong distributed-systems fundamentals, including consistency, fault tolerance, concurrency, and failure handling
Experience building infrastructure, developer platforms, cloud services, or shared systems that other engineers depend on
A track record of owning reliability and operational outcomes in addition to feature delivery
Ways to Stand Out from the Crowd:
Experience with Temporal or another durable workflow orchestration system
Experience designing multi-tenant platforms, control planes, or schedulers
Knowledge of VM lifecycle management, remote execution environments, or sandbox and isolation technologies
Experience with observability, reliability engineering, capacity planning, or infrastructure automation and building AI agent platforms or developer execution environments
Experience building and operating GPU infrastructure, including GPU provisioning, scheduling, orchestration, or workload management
NVIDIA 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.