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Posted 13 hours ago
Developer Experience Engineer
EtchedDeveloper Experience Engineer
Perks & benefits
Medical InsuranceHealth InsuranceHousing AllowanceRelocation AllowancePaid LeaveCommissionVisa
Requirements
Python, Slurm, Prometheus, Grafana, Docker, Kubernetes, CI/CD, Terraform, AWS, GCP
Skills
PythonKubernetesDockerTerraformCI/CD
About the role
About the Company
Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference.
Responsibilities
- Develop and maintain automation tools to streamline development, testing, and deployment workflows
- Optimize and manage Slurm-based job scheduling for AI workloads, simulation, and chip design workflows
- Build observability solutions using Grafana, Prometheus, and OpenTelemetry
- Manage and optimize containerized environments using Docker and Kubernetes
- Enhance build, test, and deployment pipelines with CI/CD tools
- Develop caching and artifact management systems to reduce build times
- Integrate and manage cloud resources (AWS, GCP) for scaling compute and storage
- Support security and compliance efforts including secrets management
- Document and share best practices for developer tooling
Requirements
- Strong Python skills for automation and infrastructure development
- Experience with Slurm job scheduling in an HPC or hybrid environment
- Hands-on experience with Prometheus, Grafana, and OpenTelemetry
- Expertise with Docker and Kubernetes, including Helm charts
- Proficiency in modern CI/CD pipeline management
- Experience with infrastructure-as-code tools like Terraform or Ansible
- Knowledge of cloud infrastructure on AWS or GCP
Preferred Qualifications
- Data pipelining for AI/ML workflows using Airflow, Prefect, or Dagster
- Build system expertise with Bazel, CMake, or distributed build systems
- Secrets management tools such as Vault, SOPS, or cloud-native managers
- AI/ML model training workflows and GPU-accelerated workloads
- Exposure to FPGA or ASIC development environments
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Etched · San Jose
