Site Reliability Engineer - AI Accelerator Infrastructure - Contract

D Matrix · Santa Clara · Engineering

Posted 2026-07-15

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Site Reliability Engineer - AI Accelerator Infrastructure - Contract

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.

What You Will Do

Infrastructure Operations

- 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.

Automation & Infrastructure as Code

- 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.

Observability & Incident Response

- 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.

Customer & Platform Services

- 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.

Documentation & Collaboration

- 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.

What You Will Bring

Required

- 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.

Strongly Preferred

- 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.

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