Developer Experience Engineer

About the role

About Etched

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. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history.

Job Summary

We are looking for a Developer Experience Engineer to enhance developer productivity, automation, and infrastructure across our hardware and software teams. You will work at the intersection of DevOps, software engineering, and high-performance computing (HPC), building systems that accelerate chip design, simulation, and AI model deployment in a cloud and on-prem hybrid environment.

Key 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 for monitoring pipelines, infrastructure, and compute clusters.

- Manage and optimize containerized environments using Docker and Kubernetes to enhance scalability and reproducibility.

- Enhance build, test, and deployment pipelines with CI/CD tools like GitHub Actions, Jenkins, Buildkite, or Bazel.

- Develop caching and artifact management systems to reduce build times and improve dependency resolution.

- Integrate and manage cloud resources (AWS, GCP) for scaling compute, storage, and hybrid workloads.

- Support security and compliance efforts including secrets management and access control.

- Document and share best practices for efficient developer tooling and workflows.

You may be a good fit if you have

- Strong Python skills for automation, scripting, and infrastructure development.

- Experience with Slurm job scheduling in an HPC or hybrid environment.

- Hands-on experience with observability and monitoring tools like Prometheus, Grafana, and OpenTelemetry.

- Expertise with Docker and Kubernetes, including Helm charts and cluster management.

- Proficiency in modern CI/CD pipeline management with tools like GitHub Actions, Jenkins, or Buildkite.

- Experience with infrastructure-as-code tools like Terraform or Ansible.

- Knowledge of cloud infrastructure, compute, and storage optimization on AWS or GCP.

Strong candidates may also have experience with

- 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, AWS Secrets Manager, or GCP Secret Manager.