---
title: 'Embedded Linux Engineer (Yocto Specialist) at Genesis'
canonical: 'https://feeny.ai/job/embedded-linux-engineer-yocto-specialist-genesis-paris-zpw9mnsbmya8'
type: 'job'
last_seen: '2026-11-12'
---

# Embedded Linux Engineer (Yocto Specialist) at Genesis

- **Company:** Genesis
- **Location:** Paris, France
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-11-10
- **Last confirmed live:** 2026-11-12
- **Apply:** https://jobs.ashbyhq.com/genesis/e0059971-8b19-4774-97f9-adf4f72f2c77

## Job description

## About Genesis

Genesis is a physical AI lab and full-stack robotics company building general-purpose robots, with teams in Paris and the Bay Area. Our people have built some of the most widely used platforms in robotics research including the open-source Genesis simulator, pioneered generative simulation and led foundation-model work at some of the world's leading AI labs. We own the whole stack: hardware, embedded systems, simulation, data and robot foundation models.

## The Role

Every Genesis robot runs on a custom jetson thor compute board and every piece of software we write: control, perception, learned policies, depends on the Linux image underneath it. We are looking for a senior engineer to own that image end to end: build it, ship it to the robot, keep it updatable, and make it easy for the rest of the team to compile and deploy on top of it. This is an in-house ownership role. You will be the reference for embedded Linux at Genesis, working closely with our embedded, robotics and application-software engineers in Paris and with our hardware partners. The job is to provide a reliable, well maintained and up to date os image, customized to our needs.

## What You'll Do

- Build, own and maintain the production Yocto/OpenEmbedded distribution for our robot's custom board: BSP, kernel, device tree, rootfs, toolchain and custom layers.
- Bring up new hardware on NVIDIA Jetson-class platforms, integrating drivers and peripherals. Including hands-on debugging of components such as Wi-Fi, cameras, audio devices and buses on the physical robot.
- Own the full image lifecycle: reproducible builds, versioned releases, secure and robust over-the-air (OTA) updates, and long-term maintenance as hardware and software evolve.
- Deliver a development kit and workflow (SDK, cross-compilation, deployment tooling) so engineers can build and ship their software onto the robot quickly.
- Integrate GPU and AI-accelerator inference stacks so that our models run efficiently on the robot.
- Speed up the team's build and CI pipeline for image generation and validation. Builds are long, so caching and automation matter, as well as removing unnecessary dependencies.
- Document the system and make it approachable, so the image is never again a black box that only one person (or contractor) understands.

## Your First Three Months

- Build a custom Yocto image for the robot's custom boards.
- Flash, boot and validate it on real hardware, working through driver and integration issues on-site.
- Set up the cross compilation workflow, caching, CI automations to streamline the robotics team work

## What You'll Bring

- Passion for your craft and demonstrated excellence in embedded Linux engineering.
- 5+ years of hands-on embedded Linux experience, including shipping at least one Yocto-based image to production not only a prototype.
- Proven ownership of an image through its lifecycle: maintenance, release management and remote/OTA updates.
- Deep experience with Yocto internals: layers, recipes, BitBake, machine and distro configuration, SDK generation.
- Strong board bring-up and low-level debugging skills: kernel configuration, device trees, drivers, boot chain.
- Hands-on experience with the NVIDIA Jetson family (JetPack / L4T, meta-tegra) or comparable embedded GPU platforms.
- Knowledge C++ and Python packaging systems and how to deal with cross-compilation.
- The ability to explain how your work fits into the wider build, development and deployment system.
- Exceptional ownership and initiative, with the judgment to choose workable solutions for our current stage over the theoretically ideal one.

Bonus

- Experience integrating GPU / AI-accelerator inference (CUDA, TensorRT or similar) on embedded targets.
- Background in robotics, drones, connected devices or other products with custom hardware.
- Experience working with chip vendors or ODMs.
- Familiarity with secure boot, real-time kernel tuning (PREEMPT_RT) or OTA frameworks such as Mender, RAUC or SWUpdate.
- French and English. Mandarin is a plus.

You'll Thrive Here If You

- Enjoy being the go-to person for a critical system and making it easier for others to use.
- Unblock teammates' requests quickly and pragmatically, and know when "good enough to ship" is the right answer.
- Stay patient and methodical when a single build takes two hours and a bug only shows up on hardware.
- Like startup flexibility: changing priorities, short feedback loops and work that ranges from kernel to tooling.

## 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

- [IT Operations Lead](https://feeny.ai/job/it-operations-lead-genesis-san-carlos-s0nbbwgnkeqq) — San Carlos, CA
- [Executive Assistant to Founders](https://feeny.ai/job/executive-assistant-to-founders-genesis-san-carlos-edm3w5gmmg9p) — San Carlos, CA
- [Chief of Staff & Investor Relations](https://feeny.ai/job/chief-of-staff-investor-relations-genesis-san-carlos-gjnyjbp7a88x) — San Carlos, CA
- [Growth Engineer, Recruiting & People](https://feeny.ai/job/growth-engineer-recruiting-people-genesis-paris-k75stskhkqqm) — Paris, France
- [Senior People Partner](https://feeny.ai/job/senior-people-partner-genesis-san-carlos-tvfa3fz8b6j6) — San Carlos, CA
- [Recruiting Coordinator](https://feeny.ai/job/recruiting-coordinator-genesis-san-carlos-njgnq2es9key) — San Carlos, CA
- [In-House Creator](https://feeny.ai/job/in-house-creator-genesis-san-carlos-c1gt9pye76j7) — San Carlos, CA
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- [Head of Supply Chain (Robot Production)](https://feeny.ai/job/head-of-supply-chain-robot-production-genesis-san-carlos-jw26jwaqx9kf) — San Carlos, CA
- [Deployment Program and Operation Manager](https://feeny.ai/job/deployment-program-and-operation-manager-genesis-san-carlos-xmzss081bqff) — San Carlos, CA