Etched
Developer Experience Engineer
About this role
Etched seeks a Developer Experience Engineer to build automation, infrastructure, and observability systems for a hardware and software team focused on AI inference. You'll optimize job scheduling, CI/CD pipelines, cloud environments, and monitoring tools across chip design and model deployment workflows in a hybrid cloud and on-premises setup.
What you'll do
- Develop automation tools and streamline development, testing, and deployment workflows
- Optimize and manage Slurm-based job scheduling for AI workloads and chip design
- Build observability solutions using Grafana, Prometheus, and OpenTelemetry
- Manage containerized environments with Docker and Kubernetes for scalability
- Enhance CI/CD pipelines using GitHub Actions, Jenkins, Buildkite, or Bazel
- Integrate and manage cloud resources on AWS and GCP for hybrid workloads
What they're looking for
- Python for automation and infrastructure development
- Slurm job scheduling in HPC environments
- Prometheus, Grafana, and OpenTelemetry monitoring
- Docker and Kubernetes with Helm charts
- CI/CD tools (GitHub Actions, Jenkins, Buildkite)
- Infrastructure-as-code (Terraform, Ansible)
- AWS or GCP cloud infrastructure
- Data pipelining tools (Airflow, Prefect, Dagster)
Benefits
- Full medical, dental, and vision coverage with generous premium support
- $2,000/month housing subsidy for office-proximate residents
- Daily lunch and dinner provided at office
- Relocation support for San Jose area moves
- Unlimited compute budget subject to ROI justification
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Etched
Etched builds AI inference hardware, designing and manufacturing complex mechanical and electrical components for data center systems. The company is hiring mechanical engineers, PCB designers, hardware verification engineers, and software engineers to develop manufacturing processes, circuit boards, verification infrastructure, and internal tools across its hardware and operations.
- Website
- etched.com
Likely interview questions
- Walk us through your experience managing Slurm job scheduling in an HPC environment. How have you optimized job throughput and resource utilization for compute-intensive workloads?
- Describe a CI/CD pipeline you've built or significantly improved. What tools did you use, and how did you measure the impact on developer productivity?