Contract Site Reliability Engineer — AI Accelerator Infrastructure

d-Matrix•Santa Clara, CA

2d•$155,000 - $235,000

About The Position

At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. About d-Matrix d-Matrix designs and manufactures purpose-built AI inference silicon. Our SRE team owns the infrastructure layer that every engineering team — and our customers — depends on. That means colocation facilities, on-premises GPU clusters, cloud environments, and the platform services customers use when deploying and validating d-Matrix hardware and software. This is a 6-month contract with potential conversion to full-time. It is a hands-on, high-ownership role. You will build, operate, and automate real infrastructure — not manage tickets. The systems you keep running directly enable silicon development, AI/ML research, and customer success. The Role: 6-month contract with potential conversion to full-time You will be a core member of the d-Matrix SRE team, responsible for the reliability, automation, and observability of the infrastructure that the company runs on. You will work across colocation, on-premises lab environments, and cloud platforms—and you will own your systems end-to-end, from initial provisioning through live incident response. You will work closely with the senior DevOps lead team, whose CI/CD pipelines and automation layer depend on the infrastructure you operate. You will also support customer-facing environments where d-Matrix partners collaborate on hardware and software deployments.

Requirements

Bachelor's or Master's in Computer Science, Electrical Engineering, or a related field (or equivalent experience); 5+ years in SRE, infrastructure engineering, or systems administration.
Strong Linux systems knowledge: networking, storage, systemd, package management, kernel parameters, and performance diagnostics.
Hands-on experience with colocation or on-premises server infrastructure — physical hardware, rack networking, and bare-metal provisioning.
IaC experience with Terraform and/or Ansible — writing and maintaining production configurations, not just running existing playbooks.
Kubernetes operational experience: cluster troubleshooting, workload management, storage, and networking.
Prometheus + Grafana or DataDog: building dashboards, writing alert rules, and understanding signal quality.
Python and/or Bash scripting: production-quality automation, not just one-off scripts.
Incident response experience: structured triage, RCA production, and follow-through on action items.
Comfort operating in fast-moving startups: you own your systems, document what you build, and iterate without waiting for perfect requirements.

Nice To Haves

Experience operating customer-facing infrastructure or platform services with external reliability expectations.
Cloud infrastructure operations across AWS, Azure, or GCP—including hybrid environments spanning cloud and on-prem.
HPC job scheduler experience: Slurm, LSF, or equivalent — operations and troubleshooting.
Knowledge of high-speed interconnect fabrics: InfiniBand, RoCE, or NVLink — configuration and troubleshooting.
Go programming for SRE tooling — health-check services, exporters, or auto-remediation agents.
Experience with large-scale infrastructure automation: host lifecycle management, fleet auto-healing, or AIOps-driven operations.

Responsibilities

Own reliability and availability of assigned infrastructure domains: colo server fleets, on-premises lab clusters, cloud environments (AWS, Azure, GCP), and customer-facing platform services.
Perform hands-on infrastructure work: server provisioning, OS configuration, network setup, storage management, and hardware troubleshooting from bare metal up.
Support and operate high-speed interconnect environments — InfiniBand, RoCE, or high-speed Ethernet — in lab and colo settings.
Conduct capacity planning and hardware lifecycle management for assigned infrastructure domains.
Own IaC and configuration management (Terraform, Ansible) for your infrastructure domains — all provisioning and changes through code, not manual steps.
Build automation to eliminate toil: host lifecycle management, fleet health checks, auto-remediation workflows, and self-service tooling for engineering teams.
Develop networking automations for cluster interconnects, VLAN management, and lab network configurations.
Contribute to shared IaC modules and automation libraries used across the SRE team.
Design and maintain monitoring dashboards, alerting, and SLIs (Prometheus/Grafana, DataDog) for your infrastructure domains—ensuring signal quality and actionable alerts.
Participate in on-call rotation; triage and resolve incidents from bare metal to application layer, distinguishing infrastructure faults from software or hardware product issues.
Produce high-quality RCA reports for P0/P1 incidents with root cause analysis and tracked action items.
Detect performance issues, recommend solutions, and implement fixes that permanently improve system reliability.
Support and operate platform services used by external customers for hardware and software deployment collaboration with d-Matrix.
Ensure QoS and uptime commitments for customer-facing environments; escalate reliability risks proactively.
Document platform configurations, access procedures, and operational runbooks for customer environments.
Maintain high-quality runbooks, architecture diagrams, and troubleshooting guides—documentation is part of the job, not an afterthought.
Partner with the DevOps team to ensure infrastructure reliability supports CI/CD pipeline performance and developer experience.
Serve as a technical resource for engineering teams—sharing operational knowledge and raising infrastructure risks early.