Senior HPC Software Engineer
NVIDIA
Join our team as a Senior Devops Engineer. At NVIDIA, you'll be part of the team shaping the future of computing and guaranteeing the smooth operation of our brand-new technologies. Our mission is to leverage AI's power to build outstanding and pioneering solutions that have a significant impact on the world.
What you'll be doing:
Own the solutions you build, collaborating with cross-functional teams to successfully implement them.
Collaborate with various teams in a fast-paced environment to ensure seamless project completion.
Continuously improve solution provisioning and management through automation.
Detect performance issues and recommend solutions to maintain world-class service quality.
Conduct capacity management and planning to meet ongoing operational needs.
Participate in incident reviews, assist in root cause identification, and write RCA reports.
Deliver SRE solutions in a globally distributed, multi-cloud hybrid environment - AWS, GCP, and On-prem.
Participate in the team's on-call rotation.
What we need to see:
B.S. degree in Computer Science or related technical field (or equivalent experience)
8+ years in building and supporting critical services
5+ years of coding/scripting experience in at least two high-level programming languages such as Python, Go, Ruby, or Groovy.
Proficiency in Kubernetes administration, modern CI/CD techniques and Infrastructure as Code (IaC).
Full-stack AI experience with deep expertise in MCP ecosystems, Carpenter, n8n orchestration, and AI-assisted development via Cursor.
Expertise with at least one major cloud service provider - AWS, GCP, Azure.
Demonstrated proficiency with end-to-end SRE capabilities and observability.
Proficient in monitoring, metrics gathering, APM, container management, and log collection tools.
Creative problem solver with excellent debugging skills and great communication and documentation abilities.
Ways to stand out from the crowd:
Linux certification from a well-known vendor - RedHat, Oracle, etc.
Prior experience managing large-scale Kubernetes deployment in production.
Strong skills in modern container networking and storage architecture.
Hands-on background working with Flexlm and license management system.
Hands-on experience working with Slurm/LSF environments.