JOBSEARCHER

Robotics Metrics Infrastructure Engineer (AWS & Python) - REMOTE

FeujiLos Altos, CARemoteL5 SeniorJuly 16th, 2026
Robotics Metrics Infrastructure Engineer (AWS & Python) 8-week contract, option to extend | Remote - Can work anywhere in the US. Needs to be within a 3-hour time differenceImportantStrong Python and ability to understand unfamiliar codebasesGiven that this role requires full ownership of a metrics pipeline feature, the ability to navigate a Python codebase and set direction for new feature implementation is essentialSolid AWS experience (Lambda, S3, EC2)Comfortable with Linux (SSH, cron, tmux/screen)Experience with CDK or TerraformStrong communication skillsNice To HaveExperience with Weights & BiasesDocker familiarityBackground with time series data or ROS2 robotics systemsTech StackPython, AWS, Linux, CDK/TerraformDay In The LifeThis role is a contract position focused on turning a Python based robotics metrics pipeline into a scalable AWS system. You'll take an existing pipeline that processes ROS2 robotics test data, deploy it to the cloud, expand its capabilities, and make it usable for multiple research teams. It's a blend of Python engineering, AWS infrastructure, data engineering, and research team enablementJob DescriptionWe're looking for a contractor to deploy and extend our Python metrics pipeline for processing robotics test data (ROS2) in AWS. You'll own the infrastructure setup, expand the pipeline, and onboard the research team.What You'll DoDeploy the existing Python pipeline as an AWS Lambda Extend the pipeline to interface with S3, W&B, and SQLite Set up infrastructure as code (CDK or Terraform): Lambda, S3, EC2 Parse run metadata from structured folder contents and integrate it into the pipeline Set up an EC2-hosted database for team data exploration Maintain and develop the project-agnostic pipeline to support multiple research thrusts Write documentation and onboard researchers to the tool RequirementsStrong Python: able to read, extend, and reason about unfamiliar codebases AWS: Lambda, S3, EC2 Linux: comfortable on the command line beyond basic navigation (SSH, cron, tmux/screen) CDK or Terraform Strong communication skills Nice To HaveHands-on experience with W&B Hands-on experience with Docker Hands-on experience with time-series data and/or ROS2