Senior Backend Platform Engineer

Posted 7 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
184K-357K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design, build, and operate production backend services, control planes, APIs, and schedulers in Go. Provision and execute workloads across cloud environments using Kubernetes, containers, Linux, and public clouds. Own lifecycle, reliability, observability, incident response, and scalability for distributed, multi-tenant systems used by other engineers.
Summary Generated by Built In

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.

Skills Required

  • B.S. degree or equivalent experience
  • 8+ years of relevant software engineering experience
  • Professional experience developing production systems in Go
  • Linux systems knowledge and ability to debug across system layers
  • Strong networking fundamentals: TCP/IP, DNS, routing, proxies, VPNs, load balancing
  • Hands-on experience with Kubernetes and containerized workloads
  • Experience building infrastructure on AWS, GCP, or Azure
  • Backend or platform engineering experience with distributed-systems fundamentals (consistency, fault tolerance, concurrency, failure handling)
  • Experience building infrastructure, developer platforms, cloud services, or shared systems relied on by other engineers
  • Track record of owning reliability and operational outcomes in addition to feature delivery

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.

  • 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.
  • 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.
  • 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.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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