Network Site Reliability Engineer, AI Solutions Lab

Location: Santa Clara, CA, United States. This is a full-time onsite position. Applicants must be eligible to access export-controlled technology under U.S. regulations; export license review may be required before employment.

Expected base pay: $131,010–$196,300 per annum, plus eligibility for bonus and equity plans.

Company

hirify.global develops semiconductor solutions and data-infrastructure technologies for enterprise, cloud, AI, carrier, networking, optical, and memory platforms.

What you will do

• Provision compute systems, bring up clusters, manage OS images, ROCm and NIC driver stacks, and standardize lab environments.
• Build and maintain MLPerf-style test harnesses, workload libraries, test plans, result pipelines, and dashboards.
• Deploy and operate Kubernetes and/or Slurm for validation and benchmark workloads.
• Establish observability for cluster health, job execution, failures, utilization, and regression tracking.
• Lead incident response and root-cause analysis for lab infrastructure and job failures.
• Partner with architecture, networking, and performance engineering teams to validate customer-relevant AI, HPC, networking, optical, and memory-fabric deployments.

Requirements

• Master’s degree in electrical/computer engineering, computer science, or a related field.
• 6+ years of software or systems engineering experience, including at least 4+ years in Linux infrastructure.
• Strong Linux systems, data center, and cluster operations experience, with development experience across Windows and Linux.
• Proficiency in Python and TCL scripting, automation, metrics, observability, and pipeline development; familiarity with C/C++ API development.
• Experience with Ansible, Terraform, test harnesses, workload libraries, validation pipelines, dashboards, and Kubernetes and/or Slurm.
• Customer-facing communication skills and the ability to manage multiple tasks in a fast-paced lab environment; export-control eligibility for U.S.-regulated technology is required.

Nice to have

• PhD, Linux certifications, CKA, or similar Kubernetes certification.
• Experience operating AI or HPC clusters and interpreting failures in PyTorch DDP/FSDP, NeMo, or similar distributed training frameworks.
• Knowledge of Lustre, GPFS, BeeGFS, Ceph, or another distributed or parallel filesystem.
• Experience with model tuning and workload optimization.

Culture & Benefits

• Work across networking, optics, memory, compute, and AI infrastructure in the AI Solutions Lab.
• Benefits support financial well-being, family support, mental and physical health, and recognition.
• Employee stock purchase plan with a two-year look back, bonus eligibility, new-hire equity, and annual equity refreshers.
• Family support programs, mental health resources, recognition awards, and service awards.

Hiring process

• Interview responses must reflect the candidate’s own experience and thinking; AI tools, transcription apps, answer generators, and automated note-taking bots are not permitted during interviews.