Developer Experience Engineer

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.

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.

AI/ML model training workflows and monitoring GPU-accelerated workloads.

Exposure to FPGA or ASIC development environments and workflows.

Etched believes in the Bitter Lesson . We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs.

We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.