Developer Experience Engineer

• 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
• 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

Benefits

• Competitive Salary and Equity - We offer a competitive salary and equity package that aligns with industry standards
• Benefits - Your wellbeing is important to us. We offer unlimited PTO, life insurance, and a 401(k)
• Full Insurance Coverage - Our insurance includes full medical, dental, and vision with 100% of premium covered

• Hands-on experience with observability and monitoring tools like Prometheus, Grafana, and OpenTelemetry
• 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
• Experience with Slurm job scheduling in an HPC or hybrid environment
• Strong Python skills for automation, scripting, and infrastructure development
• Expertise with Docker and Kubernetes, including Helm charts and cluster management
• Build system expertise with Bazel, CMake, or distributed build systems
• Data pipelining for AI/ML workflows using Airflow, Prefect, or Dagster
• Secrets management tools such as Vault, SOPS, AWS Secrets Manager, or GCP Secret Manager
• Exposure to FPGA or ASIC development environments and workflows
• AI/ML model training workflows and monitoring GPU-accelerated workloads