Production Engineer, HPC Reliability & Automation L1
Job Description
Production Engineer, HPC Reliability & AutomationLocation: United States candidates only
Work Arrangement: 100% Remote, Must live within the Pacific Time Zone!
About the Role
The customer is seeking an engineer with strong High-Performance Computing (HPC) and Site Reliability Engineering (SRE) experience to support a growing multi-cloud AI infrastructure.
You will troubleshoot complex operational problems across compute, accelerators, workload scheduling, storage, and networking, then turn those findings into proactive detection, diagnosis, and safe automated remediation, including AI-powered agents.
Strong production HPC experience is essential. Prior experience building or orchestrating AI agents is welcome but not required.
What You'll Do
- Understand and support multi-cloud HPC architecture across clusters, schedulers, accelerators, storage, networking, and authentication.
- Proactively identify reliability and performance issues by correlating logs, metrics, and events across cloud environments.
- Troubleshoot complex issues across Linux, containers, schedulers, distributed workloads, storage, networking, and accelerators to identify root cause.
- Turn investigations into repeatable automation and agent-enabled workflows for detection, diagnosis, and safe remediation.
- Strengthen observability and monitoring while partnering with infrastructure, research, security, and cloud-provider teams on long-term fixes.
Must-Haves
- Production experience with HPC, GPU/accelerator clusters, or large-scale distributed computing in a reliability-focused engineering role.
- Strong Linux and networking skills, including troubleshooting processes, containers, storage I/O, DNS, connectivity, and authentication.
- Multi-cloud observability experience using Prometheus, Grafana, OpenTelemetry, centralized logging, or similar tools.
- Strong Python or Go automation experience and demonstrated ownership of complex production investigations through root cause and permanent resolution.
Nice to Have
- Slurm, Kubernetes, or similar HPC scheduling/cluster orchestration experience.
- Experience supporting AI training or accelerator-intensive workloads, including GPU/TPU health, distributed-job failures, interconnect issues, data-loading bottlenecks, or checkpointing.
- Experience with AWS, GCP, CoreWeave, or OCI and cloud-native observability.
- HPC storage/networking experience with NFS/POSIX, Lustre, object storage, RDMA/InfiniBand, or RoCE.
- Infrastructure automation experience with Terraform, Helm, or cluster operators.
- Experience building or orchestrating AI agents for infrastructure operations is welcome but not required.
Source: the employer's careers page. Last checked 2026-11-07. Posted 2026-11-07.
More jobs at Wipro · Jobs in Dallas · On-site jobs in United States · Engineering jobs