---
title: 'On-site Support Engineer at Genesis'
canonical: 'https://feeny.ai/job/on-site-support-engineer-genesis-bay-area-td0wgtkmyzk6'
type: 'job'
last_seen: '2026-09-10'
---

# On-site Support Engineer at Genesis

- **Company:** Genesis
- **Location:** Bay Area
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-06-18
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/genesis/ec56f638-2fd8-4e2c-a683-8d142e91a533

## Job description

## 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.

## About Genesis

## Company Overview
- **One-liner**: Genesis AI is a full-stack robotics company building general-purpose robots with human-level dexterity and intelligence, powered by its own foundation model and hardware.
- **Entity Type**: Private (Seed stage – $105M raised)
- **Headquarters**: Paris, France (with offices in the San Francisco Bay Area and London)
- **Founded**: 2024 (emerged from stealth in July 2025)
- **Founders**: Zhou Xian (CEO), Théophile Gervet (President & Co-founder), Yi-Ling Qiao (Co-founder), Tsun-Hsuan Wang (Co-founder)

## Core Business
- **Primary industry**: Robotics Engineering / General-Purpose Robotics
- **Target customers**: Enterprises in manufacturing, laboratories, hospitals, and logistics; future expansion into homes.
- **Mission**: “Build the world’s most capable robots that unlock new possibilities for humans.”

## Products & Services
- **Eno (General-Purpose Robot)**: A full-body robot designed to operate reliably in factories, labs, hospitals, and homes. Driven by the GENE foundation model, it features 20 active, back-drivable degrees of freedom in its hands – matching human size and dexterity.
- **GENE-26.5 (Foundation Model)**: The AI model that powers Eno. It understands goals, reasons through changing conditions, and completes tasks end-to-end. Trained on massive human-based internet video data and proprietary simulation.
- **Data Collection Glove**: A lightweight, sensor-loaded glove worn by humans to collect high-quality manipulation data in real-world settings (e.g., lab technicians, manufacturing workers). This glove bridges the “embodiment gap” and feeds the model with human skill data.
- **Simulation System**: A proprietary simulation environment that accelerates model training and evaluation, reducing the iteration bottleneck.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Total funding of **$105M** (Seed round, July 2025)
- **Notable Investors/Partners**: Eclipse (co-lead), Khosla Ventures (co-lead), Bpifrance, HSG; individual investors Eric Schmidt, Xavier Niel, Daniela Rus, Vladlen Koltun. Hardware manufacturing partner: Wuji Tech (China).
- **Growth Signals**:
  - Headcount grew from stealth to ~53–60 employees across Paris, Bay Area, and London (monthly growth +16% on LinkedIn).
  - 29 active job postings as of mid-2026, with a +262.5% monthly increase in openings.
  - Demonstrated a wide range of manipulation tasks (cooking, piano, Rubik’s cube, lab work) in public demos.
  - In talks with multiple customers for commercial deployment in pharma and manufacturing.

## Competitive Advantages
- **Full-stack integration**: Genesis controls both the AI model and the robotic hardware, enabling tighter optimization and faster iteration than companies that only do software or hardware.
- **Human-like dexterity**: The robotic hand matches human size, shape, and 20 degrees of freedom, allowing direct transfer of human demonstration data without an “embodiment gap.”
- **Data flywheel**: The combination of a low-friction data collection glove, simulation, and egocentric video creates a scalable pipeline for building a “human skill library.”
- **World-class team**: Founders and early engineers have backgrounds from Mistral AI, NVIDIA, Google DeepMind, Apple Intelligence, Unity, Epic, and leading robotics labs (Berkeley, CMU).

## Strategic Focus
- **Go full stack**: Continue integrating model, hardware, and data collection to deliver a complete general-purpose robot.
- **Commercial rollout**: Target early customers in pharmaceutical labs, manufacturing, and other industrial settings where dexterous manipulation is critical.
- **Scale data collection**: Expand the use of the data glove (both internally and with third-party partners) to rapidly grow the model’s skill repertoire.
- **Global hiring**: Aggressively grow the team across Paris, Bay Area, and London, especially in ML, simulation, rendering, and robotics engineering.

## Why Work Here
- **Culture**: Values include candor, responsibility, limitless ambition, and a joyful journey. The team is described as multicultural, optimistic, and pragmatic.
- **Work model**: Hybrid/office-based presence in Paris, San Francisco Bay Area, and London. No explicit remote policy mentioned, but the company emphasizes in-person collaboration.
- **Engineering culture**: Builders get to work on the hardest problems in robotics and AI – from foundation models to hardware design to data systems. The team includes pioneers of generative simulation, Diffusion Policy, and GPU compilers.
- **Notable perks**: The chance to shape a category-defining general-purpose robot; close collaboration with world-class investors and advisors; fast-growing startup with significant resources ($105M seed).

## Sources
1. [Genesis AI – Official Website](https://www.genesis.ai/)
2. [Genesis AI – Careers Page](https://www.genesis.ai/careers)
3. [TechCrunch – “Khosla-backed robotics startup Genesis AI has gone full stack, demo shows”](https://techcrunch.com/2026/05/06/khosla-backed-robotics-startup-genesis-ai-has-gone-full-stack-demo-shows/)
4. [LinkedIn – Genesis AI Company Profile](https://www.linkedin.com/company/gs-ai)
5. [robotics.press – Genesis AI Company Profile](https://robotics.press/news/genesis-ai-company-profile/)

## Other roles at Genesis

- [Training / AI Infrastructure](https://feeny.ai/job/training-ai-infrastructure-genesis-london-3dr9j4jj5bpg) — London, United Kingdom
- [Quadrants: Compiler Lead](https://feeny.ai/job/quadrants-compiler-lead-genesis-london-12t3masvvhtb) — London, United Kingdom
- [Simulation Infrastructure](https://feeny.ai/job/simulation-infrastructure-genesis-london-kvht3jcazypw) — London, United Kingdom
- [Genesis-World: Core Simulation Engine Engineer](https://feeny.ai/job/genesis-world-core-simulation-engine-engineer-genesis-london-nahhy0a9v4xc) — London, United Kingdom
- [Genesis-World: Core Physics Engineer](https://feeny.ai/job/genesis-world-core-physics-engineer-genesis-london-af6gdh0cnbhn) — London, United Kingdom
- [Robot Teleoperation Specialist](https://feeny.ai/job/robot-teleoperation-specialist-genesis-london-mcm3zmdg9rkz) — London, United Kingdom
- [Robot Learning](https://feeny.ai/job/robot-learning-genesis-london-jm6tc1tv6t6m) — London, United Kingdom
- [Site Reliability Engineer](https://feeny.ai/job/site-reliability-engineer-genesis-london-cpq05vt4mpzk) — London, United Kingdom
- [QA Engineer: Nyx Renderer & Genesis World](https://feeny.ai/job/qa-engineer-nyx-renderer-genesis-world-genesis-london-2zks5hza6tsh) — London, United Kingdom
- [Technical Program Manager](https://feeny.ai/job/technical-program-manager-genesis-london-2mt52dmhg247) — London, United Kingdom