On-site Support Engineer

Posted 13 Hours Ago
Be an Early Applicant
7 Locations
In-Office or Remote
Mid level
Artificial Intelligence • Machine Learning • Robotics
The Role
Hands-on field engineer who keeps robot data collection running: stand up and maintain stations, triage and resolve hardware/software/data issues on customer and partner sites, bring up new tasks and sites, and feed operational insights back to model, platform, and hardware teams.
Summary Generated by Built In
About Genesis

We are a full-stack general-purpose robot company, born across San Francisco and Paris and bound by a single 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 for their own sake.

We are French and American by birth and global by nature. We are backed by partners who share our vision, including Eclipse, Khosla Ventures, Bpifrance, and HSG, alongside Eric Schmidt, Xavier Niel, Daniela Rus, and Vladlen Koltun. Our people work across the Bay Area and Europe, building the engine that will teach robots to do real work in the real world. We recently unveiled Eno, our wheeled, dexterous robot powered by our GENE foundation model, and we are starting to put it to work with real customers.

The role

Collection only counts when it is running. When a station goes down on our floor, a problem shows up at a partner site, or a customer hits a wall with Eno, you are who gets it working again, and who carries what you learned back to the people building the model.

This is the embedded engineer for the data engine. You will keep our floors, partner sites, and customer deployments running, resolve the issues that stop them, and own the loop between the field and the model, platform, and hardware teams. You will spend real time on customer sites, partnering with their teams to solve problems on the spot and spotting where we can help them next. You will help bring up new tasks and new sites, and turn what breaks into better specs and acceptance criteria. Hands-on, in the field, across sites.

What you'll do
  • Keep collection running. Stand up stations and partner sites, and keep them collecting accepted hours through whatever comes up.

  • Be on the ground with customers. Travel to customer sites, work alongside their teams to solve problems on the spot, look around the corner for where we can help them next, and feed that back to our global team.

  • Intake, triage, resolve, implement. Own site and floor issues end to end: diagnose across hardware, software, and data, fix them, and put the fix in place so they do not recur.

  • Own the loop to the model team. Be the channel back to the model, platform, and hardware teams: surface what the field sees and turn it into tickets and data requests.

  • Bring up new tasks and sites. Support task setup and acceptance, and stand up new sites to the standard.

  • Sharpen the specs. Turn what you learn into better task specs and acceptance criteria, working from the data engine playbook.

  • Cover multiple sites. Support more than one site, in person and remote, as the operation grows.

What we're looking for
  • You are a hands-on engineer who likes the field. You have kept a robotics, hardware, teleoperation, or data-systems operation running in the real world, and you would rather fix it than file it.

  • You debug across the stack. Comfortable across hardware, software, and data, and comfortable with Linux and Python.

  • You are good with customers. You are at ease on a customer's site, partnering with their team to solve problems and reading where they will need us next. You are happy to travel to our collection, partner, and customer sites.

  • You speak operator and researcher. You can stand next to an operator and sit with a researcher and translate cleanly between them.

  • Ownership and urgency. When something is down, you own it until it runs. Bias for action, no waiting for permission.

  • From the right world. Experience at a robotics, embodied-AI, or autonomous-vehicle operation is a strong plus.

How we work

We are always looking for people who are driven to work on hard problems and want to shape what the world will look like in ten years. A few of the values that guide us:

  • Limitless ambition. We hold ourselves to the highest bar in everything we build.

  • Relentless urgency. Iterate faster, learn faster. Time is the denominator.

  • Type-2 Fun. Take the work seriously, not yourself. Embrace the grind and find joy in the struggle.

  • Radical transparency. Candid communication builds trust, and direct feedback drives growth.

  • Multiculturalism. We come from across the world. Be curious. Meet people on their terms.

  • Team over ego. Help others, share context, and win as a team.

  • A joyful journey. We take pride in the craft, enjoy the ride, and make space to laugh. Happiness is part of how we get there.

Skills Required

  • Experience maintaining robotics, hardware, teleoperation, or data-systems operations in real-world deployments
  • Ability to diagnose and debug across hardware, software, and data stacks
  • Comfortable working with Linux
  • Proficient in Python
  • Comfortable working on customer sites and traveling to partner and collection sites
  • Ability to translate between operators and researchers and communicate field needs to engineering teams
  • Ownership mentality and urgency; own incidents until resolved
  • Experience at a robotics, embodied-AI, or autonomous-vehicle operation
Am I A Good Fit?
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The Company
86 Employees
Year Founded: 2025

What We Do

Genesis AI is a global full-stack robotics company developing general-purpose robots with human-level intelligence and capabilities. It aims to build foundational AI models that automate repetitive tasks across applications such as lab work and housekeeping. The company uses a proprietary physics engine to generate synthetic physical-world data, helping train robotics models for diverse real-world environments, and operates across Paris and Silicon Valley.

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