Senior HPC Site Reliability Engineer
Nvidia
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This role on the market
965 open reliability roles across 203 companies are on ApplySarthi right now, most of them in Bengaluru (41), Delhi NCR (11), Hyderabad (9).
- Site Reliability EngineerElevenlabs
- Reliability & MRO OfficerPfizer
- Database Reliability EngineerWorkday
- Silicon Photonics Quality & Reliability EngineerIntel
- Senior Engineer, HIG-HBM Product Engineering (Media Health Reliability)Micron
What reliability roles keep asking for: Python (47%), Observability (39%), Kubernetes (35%), AWS (32%), Terraform (26%), CI/CD (25%), Linux (24%), System design (18%) — counted across their open postings here.
AWS jobs · Ansible jobs · Azure jobs · Deep learning jobs
Nvidia has 3,054 open roles listed here.
- Senior Solutions Architect – Large Scale AI Training
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- Senior Infrastructure Automation Engineer, Compute Platform - EDA Infrastructure
- Senior Cloud Infrastructure and DevOps Solutions Architect
- Senior Software Development Engineer, Neural Graph Infrastructure
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for reliability roles keep coming back to Python, Observability, Kubernetes, AWS. Practise those questions before you sit with Nvidia.
Questions you are likely to be asked
- Why do you want to join Nvidia?
- What is your experience with Docker? Tell me one thing you learned the hard way.
- Walk me through how code gets from a commit to production where you work.
- Tell me about an outage you handled. What did you learn from it?
- How do you decide what to monitor, and what should wake someone up at night?
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Practise the Senior HPC Site Reliability Engineer at Nvidia interview free →We are now looking for a Senior HPC Site Reliability Engineer to join our mission and continue improving our HPC infrastructure. A meaningful part of NVIDIA’s strength is our unique and advanced development tools and environments that enable our incredible pace of innovation. We are looking for architects to help us evolve the way our private compute cloud is architected and optimized. What you will be doing: Provide leadership in the design and implementation of our large-scale compute cloud that enables the world's top chip modelers, designers, and deep learning experts to invent groundbreaking technology. Identify architectural changes or completely innovative approaches in our cloud architecture and design. Help with strategic challenges we encounter, including: effective resource utilization in a heterogeneous compute environment, evolving our private/public cloud strategy, capacity modeling, and planning for multi-year growth and scaling across our global computing environment! What we need to see: B.sc in Computer Science, Electrical Engineering or related field or equivalent experience 8+ years of experience designing and operating large scale compute infrastructure. Experience with job schedulers such as IBM/Platform LSF, SGE, SLURM, Marathon, Chronos. Solid understanding of cluster configuration managements tools – Ansible, Puppet, Chef, Salt. Good experience providing compute services using a public cloud (AWS, Azure, Google Cloud) Strong script-writing skills: Python, Bash, Perl Knowledge of and/or experience deploying PaaS microservices – Docker, Docker Swarm, Kubernetes Understanding of fast distributed and network attached storage solutions and Linux file systems, ability to recommend and implement solutions to improve OS performance and reliability. 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.
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Listed on workday · posted 2026-10-21. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.