Senior Software Engineer; Compute Architecture

Requirements

• 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
• (Desirable) Experience working with GPU-based systems
• (Desirable) Experience with low-level hardware management such as BMCs or Redfish
• (Desirable) Experience operating large-scale distributed systems or high-throughput infrastructure
• (Desirable) Experience collaborating with or contributing to open-source projects (for example, Go, Redfish)
• We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match

• 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
• 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