1 day ago
Base Salary
$184k - $357k/yr
Responsibilities
- Design, build, and operate scalable cloud services for job execution, resource management, and storage.
- Solve infrastructure challenges involving Kubernetes, job scheduling, multi-region services, and automated recovery.
- Develop agentic workflows to streamline infrastructure operations and reduce manual work.
- Build observability, monitoring, and remediation capabilities for platform reliability and production diagnosis.
- Partner with engineering teams to understand customer needs and deliver solutions from concept through production.
- Drive capacity planning, performance optimization, and production readiness as the platform grows.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
- 8+ years of infrastructure development experience delivering scalable cloud solutions from concept to production.
- Strong object-oriented programming skills in Java or Go.
- Background in artificial intelligence, machine learning, and data analytics, with the ability to apply these techniques to infrastructure.
- Ability to diagnose complex distributed-systems issues and drive root-cause resolution.
- Effective collaboration across engineering teams and time zones, with ownership of customer needs and production outcomes.
- Experience operating large-scale distributed platforms and improving reliability, scalability, and operational efficiency is preferred.
- Hands-on experience with Kubernetes, container orchestration, and multi-cluster or multi-region environments is preferred.
- Experience building observability, alerting, and automated remediation systems is preferred.
- Expertise in capacity planning, performance tuning, and production readiness for rapidly growing platforms is preferred.
Benefits
- Equity and comprehensive benefits are offered.
- The base salary range is $184,000–$287,500 for Level 4 or $224,000–$356,500 for Level 5.
- Applications will be accepted at least until October 17, 2026.
Tech Stack
Categories
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.