1 day ago
Base Salary
$168k - $270k/yr
Responsibilities
- Lead cloud VM platform initiatives from architecture and systems design through implementation, testing, and deployment.
- Design, build, and operate scalable services supporting secure and isolated agent workloads.
- Develop automation for infrastructure provisioning, VM lifecycle management, application delivery, configuration, monitoring, and remediation.
- Collaborate with engineering teams across NVIDIA to translate business and AI workflow requirements into platform capabilities.
- Improve platform reliability, scalability, observability, performance, and operational efficiency.
- Raise standards for code quality, testing, documentation, infrastructure security, and production readiness.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 8+ years of experience in software, platform, infrastructure, or cloud engineering, focused on backend or distributed systems.
- Strong understanding of distributed-systems concepts including service communication, asynchronous processing, failure handling, retries, idempotency, and eventual consistency.
- Familiarity with PostgreSQL and MongoDB, including data modeling, migrations, and performance.
- Understanding of secure software development, cloud security, identity and access management, secrets management, and network security.
- Experience with AI-native development and coding agents.
- Strong communication and collaborative, team-oriented skills.
- Deep expertise in Go and TypeScript is preferred.
- Production experience with Temporal for durable execution, workflow orchestration, and long-running distributed processes is preferred.
- Experience with infrastructure security, workload isolation, container security, zero-trust principles, AI agent platforms, or sandbox execution is preferred.
Benefits
- Equity and benefits are provided.
- Applications are accepted at least until September 12, 2026.
- This posting is for an existing vacancy.
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.