Nvidia ITE
Senior Backend Platform Engineer
US, CA, Santa Clara · Senior
Sponsorship not specifiedDetected 4 days ago
Backend DevelopmentAWSGCPAzureCloud PlatformsKubernetesLinuxPlatform EngineeringTemporalDeep LearningAI OrchestrationIncident ResponseTCP/IPDNSLoad Balancing
About the role
- 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.
Responsibilities
- 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
- Own systems throughout their lifecycle, including architecture, implementation, deployment, observability, incident response, and continuous improvement
- Build infrastructure and platform primitives used by other engineers and developer-facing products, and e stablish 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
- Strong professional experience developing production systems in Go, Linux systems knowledge and the ability to debug across system layers
- Experience building infrastructure, developer platforms, cloud services, or shared systems that other engineers depend on
- Experience building and operating GPU infrastructure, including GPU provisioning, scheduling, orchestration, or workload management
Requirements
- B.S. degree or equivalent experience
- 8+ years of relevant software engineering experience, with flexibility for exceptional candidates
- 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 s trong distributed-systems fundamentals, including consistency, fault tolerance, concurrency, and failure handling
- A track record of owning reliability and operational outcomes in addition to feature delivery
- Experience with Temporal or another durable workflow orchestration system
- Experience with observability, reliability engineering, capacity planning, or infrastructure automation and building AI agent platforms or developer execution environments
Skills
- Join us at the forefront of technological advancement.
Compensation
- 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.
Benefits
- You will also be eligible for equity and benefits.
Company info
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This listing is sourced directly from Nvidia ITE's careers page and normalized into a canonical job model.