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d-Matrix
d-Matrix
51 – 200 Employees
H1B Visa SponsorArtificial IntelligenceConsultingManufacturing
d-Matrix develops datacenter AI inference technology designed to improve compute efficiency through in-memory computing. Founded in 2019, the company combines custom circuit design, machine learning tools, software, algorithms, and chiplet-scale interconnects to address the challenge of integrating memory and computation for modern artificial intelligence workloads.
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Director of Site Reliability Engineering, AI Infrastructure — d-Matrix, Santa Clara Hybrid

Lead d-Matrix’s SRE organization for generative AI inference infrastructure. Own reliability, observability, automation, storage, and hybrid cloud and on-premises operations.

USUnited StatesCACalifornia
$195,000 – $285,000 / year
HybridFull-timeLeadEnglish RequiredDevOps Engineer
AnsibleAWSAzureCloudGoGoogle Cloud PlatformGrafanaKubernetesLinuxNFSPrometheusPythonSplunkTerraform

Description

  • Establish and lead d-Matrix’s Site Reliability Engineering organization.
  • Create the SRE charter and embed reliability practices across hardware and software engineering.
  • Recruit, develop, and retain a team of one to three SRE engineers.
  • Manage the Data Center and Lab Technician team while setting operational priorities and standards.
  • Own 24/7 reliability across colocation facilities, on-premises lab clusters, cloud environments, and customer-facing platform services.
  • Design resilient systems around failure domains, progressive delivery, and disciplined change control.
  • Define service-level indicators, service-level objectives, and error budgets.
  • Create on-call processes, including a follow-the-sun model as global operations expand.
  • Develop incident response and root-cause analysis frameworks.
  • Lead observability for metrics, traces, and logs.
  • Advance Terraform- and Ansible-based automation, including self-healing infrastructure.
  • Implement host lifecycle automation, fleet remediation, and AIOps-enabled alerting.
  • Manage FinOps and capacity planning across cloud, colocation, and on-premises environments.
  • Lead the transition from ad hoc JBOD storage to enterprise shared storage across on-premises, colocation, and cloud environments.
  • Collaborate with Software Tools, QA DevOps, Engineering, Networking Operations, and IT Operations to improve reliability, cost efficiency, and technical debt management.

Requirements

  • Bachelor’s or master’s degree in computer science, electrical engineering, or a related discipline.
  • At least 15 years of experience in SRE, infrastructure engineering, or production engineering.
  • At least five years of experience leading SRE or infrastructure engineering teams.
  • Experience creating or substantially rebuilding an SRE or infrastructure engineering function.
  • Experience defining SLOs, building on-call programs, implementing observability, and leading organizational change.
  • Advanced expertise with Linux systems.
  • Experience with enterprise shared storage, including NAS/SAN, large-scale NFS/SMB, snapshot and replication architectures, and hybrid-cloud storage integration.
  • Experience operating colocation facilities and on-premises hardware at scale.
  • Understanding of server lifecycle management, power and cooling systems, and rack-level networking.
  • Production experience with Terraform and Ansible, including module design, remote state, environment isolation, and change governance.
  • Experience operating Kubernetes clusters, including lifecycle management, workload reliability, storage, and large-scale RBAC.
  • Experience owning observability platforms such as Prometheus, Grafana, Datadog, or Splunk.
  • Strong Python or Go scripting skills for production services and infrastructure automation.
  • Strong executive communication abilities.
  • Ability to work effectively in a high-ambiguity, low-process environment.
  • Experience running customer-facing infrastructure or platform services is preferred.
  • Knowledge of InfiniBand, RoCE, or NVLink is preferred.
  • Experience with HPC schedulers such as Slurm, LSF, or equivalent is preferred.
  • Experience with hybrid, multi-cloud operations across AWS, Azure, and GCP is preferred.
  • FinOps expertise is preferred.
  • Knowledge of ITIL or an equivalent incident, problem, and change management framework is preferred.
  • Published technical writing, conference presentations, or open-source contributions are preferred.
  • Must be legally authorized to work in the United States.

Benefits

  • Equity compensation.
  • Bonus or incentive opportunities tied to individual and company performance.
  • Medical insurance.
  • Dental insurance.
  • Vision insurance.
  • 401(k) plan.
  • Inclusive rewards program focused on the wellbeing of employees and their loved ones.

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