---
title: 'Senior Prop Artist at Genesis'
canonical: 'https://feeny.ai/job/senior-prop-artist-genesis-paris-r4f874x6ay6h'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Prop Artist at Genesis

- **Company:** Genesis
- **Location:** Paris, France
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-23
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/genesis/65616f30-c345-44cd-855c-8e6fefb1d0d7

## Job description

## About the Role

Genesis AI is building Genesis World, a unified multi-physics simulation engine paired with Nyx, our in-house path traced photorealistic renderer that powers the next generation of robotics and embodied AI. We are looking for a Senior Prop Artist to model, sculpt, and texture the physical objects and digital twins that populate our simulated worlds. Because these assets are used as training data for machines operating in the physical world, close enough is not enough, meaning scale, proportion, material response, and geometric accuracy must all hold up under scrutiny. This is a craft heavy role where you will apply game caliber art skills beyond entertainment to build beautiful, efficient assets that perform in real time and directly narrow the gap between simulation and reality.

## What You'll Do

- Create photoreal props for digital twins end-to-end: modeling, high-poly sculpting, retopology, UVs, and PBR texturing.
- Recreate real-world objects from reference and photogrammetry, matching real dimensions, materials, and wear.
- Clean up, retopologize, and optimize scanned and existing assets to meet real-time budgets without losing fidelity.
- Author assets to strict poly, texture, and memory budgets suited to GPU-accelerated real-time rendering.
- Partner with rendering and physics engineers to make sure assets are visually and physically correct in-engine.
- Maintain consistency, naming, and quality standards across a growing library of props.

## What We're Looking For

- 5+ years as a prop / hard-surface / environment artist, with shipped work built under AAA real-time engine constraints (games, not VFX).
- Strong modeling skills in Maya and/or Blender and sculpting expertise in ZBrush.
- Mastery of PBR texturing in Substance (Painter/Designer).
- Photogrammetry and scan cleanup experience; comfortable turning raw scans into production-ready assets.
- Deep understanding of real-time constraints: poly budgets, LODs, texture memory, and optimization tradeoffs.
- A sharp eye for accuracy, scale, and material fidelity, and the discipline to hit them consistently.

## Nice to Have

- Familiarity with real-time / GPU-accelerated rendering pipelines and how assets behave in a path-traced renderer.
- Interest or background in robotics, embodied AI, or sim-to-real.

## 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