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EngineeringOn-site

Developer Experience Engineer

Etched · On-site

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Last seen by MeritLog September 8, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Etched's Ashby job board and last checked it on September 8, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model
On-site
Salary
$150K - $275K
Location
San Jose

Hiring context

How this role compares at Etched

Etched has 105 live roles in MeritLog’s catalog across 8 job families, and 66 of them are in engineering. 81 of those listings publish a pay range, a disclosure rate of 77%.

This role's posted range of $150K - $275K sits above 30% of the 46 other Etched roles quoted over the same currency and period.

Etched concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

  • 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.

What they're asking for

  • Strong Python skills for automation, scripting, and infrastructure development.Skill
  • Experience with Slurm job scheduling in an HPC or hybrid environment.Skill
  • Hands-on experience with observability and monitoring tools like Prometheus, Grafana, and OpenTelemetry.Skill
  • Expertise with Docker and Kubernetes, including Helm charts and cluster management.Skill
  • Proficiency in modern CI/CD pipeline management with tools like GitHub Actions, Jenkins, or Buildkite.Skill
  • Experience with infrastructure-as-code tools like Terraform or Ansible.Skill
  • Knowledge of cloud infrastructure, compute, and storage optimization on AWS or GCP.Skill
  • Data pipelining for AI/ML workflows using Airflow, Prefect, or Dagster.Skill
  • Build system expertise with Bazel, CMake, or distributed build systems.Skill
  • Secrets management tools such as Vault, SOPS, AWS Secrets Manager, or GCP Secret Manager.Skill
  • AI/ML model training workflows and monitoring GPU-accelerated workloads.Skill
  • Exposure to FPGA or ASIC development environments and workflows.Skill

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

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. - AI/ML model training workflows and monitoring GPU-accelerated workloads. - Exposure to FPGA or ASIC development environments and workflows. Benefits - Full medical, dental, and vision packages, with generous premium coverage - Housing subsidy of $2,000/month for those living within walking distance of the office - Daily lunch and dinner in our office - Relocation support for those moving to West San Jose - Unlimited compute budget subject to ROI justification How we’re different Etched believes in the Bitter Lesson http://www.incompleteideas.net/IncIdeas/BitterLesson.html. We are the first inference-focused frontier AI system. Our addressable market is the entirety of inference, unlike many of our competitors.   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 and work across disciplines as needed.

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