Senior Staff Automation Engineer

Highlights

• Own deployment and integration testing for large multi-node GPU clusters.
• Design large-scale validation tests ensuring stability across virtualized clusters.
• Coordinate canary deployments and automated rollback on live production systems.

What they offer

• Restricted Stock Units
• Paid time off, paid holidays and leave of absence programs
• Comprehensive health, dental and vision insurance
• Employer contributions to HSA account
• Paid parental leave
• 401(k) retirement plan with company match up to 4%
• Professional development and tuition reimbursement
• Daily meals allowance
• Commuter benefits, cell phone stipend and wellness support

Ideal candidate

A deeply experienced infrastructure owner who thrives on ambiguity and moves with urgency. You care about stable, scalable low-level systems and want to do meaningful work powering ambitious AI workloads alongside experts.

Requirements

• 12+ years experience plus Bachelor's or Master's in Computer Science, Electrical Engineering or related field
• Experience building and deploying automated integration testing for AI cloud environments
• Working knowledge of modern infrastructure stack including Kubernetes, Docker, Terraform and Postgres
• Intimate knowledge of CI/CD pipelines and GitLab tooling for multi-datacenter releases
• Previous experience with configuration management systems including Ansible, Puppet, Chef or SaltStack
• Advanced proficiency in Python and/or Bash for automating cluster-wide test scenarios
• Knowledge of Linux kernel internals including PCIe topology, VFIO and memory management
• Familiarity with NVIDIA CUDA/NCCL and/or AMD ROCm stacks in multi-node contexts
• Strong understanding of RDMA, RoCE and InfiniBand protocols in virtualized systems