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About the Role
As a Senior Software Engineer within our Compute Architecture organization, you will help build the software control plane for hardware lifecycle management across large-scale GPU data centers. The METALDEV team builds Go-based distributed services that bring infrastructure online, monitor production hardware health, automate safe operational workflows, and give operators the observability and control needed to manage GPU servers and rack-scale systems with reliability and confidence. This is a software-first role at the intersection of distributed systems, production reliability, and hardware-aware automation, ideal for engineers who want their code to operate real-world infrastructure at massive scale.
What You’ll Do
- Design, build, and operate Go-based services that manage the lifecycle of large-scale GPU data center infrastructure.
- Build automation for data center bring-up, hardware discovery, health monitoring, remediation, and production operations.
- Develop reliable APIs, services, and workflows for managing BMCs, firmware state, server health, and rack-level infrastructure.
- Improve observability, alerting, and operational tooling so production issues can be detected, understood, and resolved quickly.
- Translate incidents and hardware failure modes into software improvements that make the platform more resilient.
- Partner with hardware-adjacent, infrastructure, operations, and software teams to design systems that work safely at fleet scale.
Who You Are
- 5+ years of experience building and operating infrastructure or backend systems.
- Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience.
- Strong proficiency in Go for building production services and tools.
- Experience designing and building gRPC and REST APIs.
- Experience with Kubernetes and containerized workloads in production environments.
- Familiarity with observability tooling such as Prometheus and Grafana.
Preferred
- Experience working with GPU-based systems.
- Experience with low-level hardware management such as BMCs or Redfish.
- Experience operating large-scale distributed systems or high-throughput infrastructure.
- Experience collaborating with or contributing