On-site Support Engineer

GenesisSan Carlos, CA
Onsite

About The Position

Genesis is a full-stack general-purpose robot company with a mission to make general-purpose robots a reality, unlocking infinite physical labor for the world and freeing people for creativity, exploration, and the pursuits they love. The role of the On-site Support Engineer is crucial for keeping operations running. When a station goes down, a problem shows up at a partner site, or a customer encounters an issue with Eno (our wheeled, dexterous robot), this role is responsible for getting it working again and feeding that learning back to the teams building the model. This is an embedded engineer role for the data engine, focused on keeping floors, partner sites, and customer deployments operational, resolving issues, and owning the loop between the field and the model, platform, and hardware teams. The role involves spending time on customer sites, partnering with their teams to solve problems, and identifying future needs. It also includes bringing up new tasks and sites, and improving specifications and acceptance criteria based on field experience. The work is hands-on, in the field, and across multiple sites.

Requirements

  • Hands-on engineering experience with a preference for field work.
  • Experience keeping a robotics, hardware, teleoperation, or data-systems operation running in the real world.
  • Ability to debug across the full stack: hardware, software, and data.
  • Comfortable with Linux and Python.
  • Strong customer-facing skills, comfortable partnering with customer teams to solve problems and anticipate needs.
  • Willingness to travel to collection, partner, and customer sites.
  • Ability to communicate effectively with both operators and researchers.
  • Demonstrated ownership and urgency in resolving issues.
  • Bias for action and initiative.

Nice To Haves

  • Experience at a robotics, embodied-AI, or autonomous-vehicle operation.

Responsibilities

  • Keep collection running by standing up stations and partner sites, and ensuring they collect accepted hours.
  • Be on the ground with customers, traveling to their sites to work alongside their teams, solve problems, and identify future needs.
  • Own site and floor issues end-to-end: diagnose across hardware, software, and data, fix them, and implement solutions to prevent recurrence.
  • Act as the channel back to the model, platform, and hardware teams, surfacing field observations and translating them into tickets and data requests.
  • Support new task setup and acceptance, and stand up new sites to the required standard.
  • Improve task specs and acceptance criteria based on field learnings and the data engine playbook.
  • Support multiple sites, both in person and remotely, as the operation scales.
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