Director Site Reliability Engineer, AI Infrastructure

Join d-Matrix and help build the future of AI inference. We’ve pioneered a memory-centric architecture that brings compute directly into memory, making AI faster, more energy efficient, and accessible on a global scale. From chips and software to rack-scale systems, our team is tackling some of AI infrastructure’s hardest challenges — and shipping breakthrough technology today. If you want to create what comes next and help make infinite inference possible, we’d love to hear from you.

Our culture is built on respect, collaboration, and direct communication. We value humility, we believe our different perspectives lead to better solutions, and we’re looking for people who are driven by execution and energized by hard problems.

Role Overview d-Matrix designs and manufactures purpose-built AI inference silicon, and the infrastructure behind our engineering organization must be as reliable and scalable as the chips we build. This role builds and leads d-Matrix’s Site Reliability Engineering (SRE) function from the ground up. You will own the infrastructure that development, validation, and customer-facing deployments run on, spanning colocation facilities, on-premises lab clusters, cloud environments (AWS, Azure, GCP), and platform services.

You will hire and grow the team, set technical direction, own SLOs for critical systems, and serve as the senior escalation point for incidents, while staying hands-on. You will partner closely with Software Tools, QA Dev Ops, Engineering, Networking Operations, and IT Operations to improve reliability, cost efficiency, and technical debt.

What You Will Do Build and lead the SRE function from scratch: define its charter, establish SRE as a discipline across hardware and software engineering, and hire, develop, and retain a team of 1–3 SRE engineers.

Lead the Data Center & Lab Technician team, setting priorities and operational standards across on-premises and colocation facilities.

Own 247 reliability across colocation, on-premises lab clusters, cloud, and customer-facing platform services, designing for failure domains, progressive delivery, and strict change control.

Establish SRE processes: define SLIs, SLOs, and error budgets, design on-call rotations (including a follow-the-sun model as d-Matrix expands globally), and build the incident and root cause analysis (RCA) framework.

Own the observability stack (Prometheus, Grafana, Datadog, Splunk, or equivalent), instrumenting metrics, traces, and logs for SLO visibility and alert design.

Drive IaC-first automation (Terraform, Ansible) and build self-healing infrastructure, including host lifecycle automation, fleet auto-remediation, and AIOps-driven alerting.

Own Fin Ops and capacity planning across cloud, colocation, and on-premises environments, including spend attribution, TCO modeling, and workload placement decisions.

Lead the migration from ad-hoc JBOD storage to an enterprise-grade shared storage platform across on-prem, colocation, and cloud, including architecture, vendor selection, and disaster recovery design.

What You Will Bring Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
15+ years in SRE, infrastructure engineering, or production engineering.
5+ years leading SRE or infrastructure engineering teams, including experience building or significantly rebuilding a function rather than managing a steady-state team.

Track record of establishing SRE as a discipline in an organization that lacked it: defining SLOs, creating on-call frameworks, standing up observability, and driving cultural change with teams from a reactive ops background.

Deep Linux systems expertise, including bare-metal operations and enterprise shared storage (NAS/SAN, NFS/SMB at scale,…