Full-Time
Robotics
Updated on 9/3/2026
Genesis AI
51-200 employees
Robotics simulation and AI foundation platform
No salary listed
London, UK + 1 more
More locations: Paris, France
Hybrid
Hybrid work is indicated for the Paris and London locations.
 AI & Machine Learning (1) |
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- Demonstrated excellence in control systems engineering.
- At least 8 years of experience designing, implementing, and deploying advanced control algorithms on real robotic system products.
- Deep expertise in dynamics, kinematics, optimal control, and state estimation.
- Strong command of hardware interfaces, sensors including inertial measurement units and force/torque sensors, and actuation technologies including motors, gearboxes, and drivers.
- Production-level mastery of C++ and a track record of building reliable, safety-critical software.
- The ability to bridge hardware, software, and algorithms to deliver robust end-to-end systems.
- An understanding of deep learning, reinforcement learning, and vision-language-action models as applied to general-purpose robotics.
- Design, implement, and optimize the embedded control stack for general-purpose robots.
- Design motion planning and trajectory optimization algorithms for dynamic locomotion and manipulation.
- Build real-time state estimation pipelines for pose, contact, and force sensing by fusing heterogeneous sensor data under noise and uncertainty.
- Formulate and solve optimal control problems, including nonlinear model predictive control, convex optimization, and trajectory optimization, for high-performance and stable behavior.
- Build modular and robust software frameworks that enable rapid iteration between simulation and hardware.
- Lead debugging, tuning, and validation of controllers directly on physical robots.
- Experience shipping humanoid robots or whole-body control systems.
- Impactful published work in control theory, state estimation, or mathematical optimization.
- Familiarity with parallel computation on graphics processing units to accelerate optimization.
Genesis AI provides a unified platform that combines robotics simulation, high-fidelity rendering, physics, and foundation models to support advanced robotics and AI development. It offers platform-as-a-service and licensing options for simulating complex scenarios, training robotic systems, and building generative models in realistic virtual environments. Users access an integrated environment where physics, geometry, rendering, and AI model development run in sync, enabling large-scale simulations and reinforcement learning. By merging core capabilities and drawing on experience from Havok, Unity, Autodesk, Google, and Epic Games, Genesis aims to reduce fragmentation and accelerate innovation in robotics and AI.
Company Size
51-200
Company Stage
Seed
Total Funding
$105M
Headquarters
Paris, France
Founded
2024
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Simplify's Take
What believers are saying
- May 6, 2026 GENE-26.5 demo showed cooking, wiring, piano, and lab manipulation.
- Genesis AI raised $105 million in seed funding from Eclipse, Khosla, Bpifrance, HSG, Schmidt.
- Genesis AI says synthetic simulation generates training data 430,000 times faster than real time.
What critics are saying
- Eno remains a demo-heavy platform; customer deployments start only by end-2026.
- LG CNS rollout depends on integration pilots, delaying revenue if industrial workflows fail.
- Humanoid rivals and incumbent robotics stacks can commoditize GENE-26.5 before Genesis ships scale.
What makes Genesis AI unique
- Genesis AI pairs GENE-26.5 with Eno, a wheeled robot and human-like hand, in 2026.
- June 16, 2026 LG CNS partnership targets manufacturing and logistics deployments across LG affiliates.
- Genesis AI uses sensor-equipped gloves and physics simulation to collect human skills data faster.
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Benefits
Wellness Program
Mental Health Support
Flexible Work Hours
Hybrid Work Options
Remote Work Options
Health Insurance
401(k) Retirement Plan
Stock Options
Company Equity
Conference Attendance Budget
Professional Development Budget
Tuition Reimbursement
Adoption Assistance
Family Planning Benefits
Fertility Treatment Support
Home Office Stipend
Phone/Internet Stipend
Parental Leave
Paid Vacation
Paid Holidays
Paid Sick Leave
Bereavement Leave
Performance Bonus
Profit Sharing
Employee Stock Purchase Plan
Relocation Assistance
Employee Referral Bonus
Childcare Support
Elder Care Support
Gym Membership
Commuter Benefits
Meal Benefits
Legal Services
Employee Discounts
Company Social Events
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↓ -4%2 year growth
↓ -4%Physical AI is advancing rapidly as developers work to improve robot capabilities beyond current limitations. At the recent Actuate conference, attendance tripled to 1,500 participants since its 2023 launch, reflecting growing industry interest. Harry Mellsop of Antioch describes physical AI as being in its "GPT-2 era", requiring more data and computational power to progress. The sector faces a "robotics data crisis" — a shortage of high-quality training data needed for AI models. Genesis AI raised $105 million in seed funding this year. Companies focusing on specific tasks, like Gritt in solar farms and Bedrock in excavation, are successfully deploying robots, whilst general-purpose humanoid robots remain confined to laboratories. Autonomous vehicles lead the field, partly due to easier data collection. Tesla advances with its Optimus robot, whilst Wayve and Uber have opened robotics labs for humanoid development.
Genesis AI, a full-stack robotics company, has partnered with LG CNS to deploy general-purpose robots across manufacturing and logistics operations. The multi-phase partnership will begin by evaluating Genesis AI's first robot, Eno, at LG operations in the US and across LG CNS's industrial customer portfolio. Genesis AI builds AI-powered robots capable of performing complex physical tasks across various environments. The company's GENE AI foundation model enables generalisation across tasks, with each new deployment requiring less data and time than the previous one. The partnership will conduct strategic evaluations across LG CNS's enterprise customers, execute pilot programmes to develop deployment playbooks, and ultimately roll out robots to LG Group affiliates and LG CNS customers globally. LG CNS will provide integration expertise to bring the robots into existing workflows at scale.
Genesis AI, a robotics startup founded in early 2025, has unveiled Eno, a wheeled general-purpose robot with two arms but no legs or head. The company has raised $105 million from Eclipse, Khosla Ventures and former Google CEO Eric Schmidt. Unlike humanoid competitors such as Figure AI and Tesla's Optimus, Eno features a three-panel body that adjusts height and folds when not in use. CEO Zhou Xian said the company plans to produce dozens of robots by year-end, initially targeting manufacturers, logistics companies and laboratories before expanding to service industries and homes. Genesis AI is developing the entire technology stack, including the AI model, training gloves, simulator and robot hardware. The company is deploying wireless gloves to collect data from skilled workers, moving away from teleoperation to generate training data more efficiently.
Genesis AI, a Paris-based startup backed by former Google CEO Eric Schmidt, has unveiled Eno, an industrial robot powered by artificial intelligence developed in partnership with LG Group. The general-purpose robot can reason, adapt and handle tasks beyond predefined programming, according to the company. Schmidt highlighted Eno's decision-making speed and dexterity, demonstrated by its ability to play the piano. The announcement comes as investors increasingly back humanoid robotics ventures. Genesis AI said the robot represents a significant advance in industrial automation capabilities.
Genesis AI has appointed two senior executives as it prepares to launch its first general-purpose robot. Damien Kieran, formerly Chief Legal and Privacy Officer at Sam Altman's Tools for Humanity and Chief Privacy Officer at X, joins as Head of Legal. Pally Kumar becomes Head of Operations, bringing leadership experience from Tesla, Amazon, Lyft and Cobot. Kieran will oversee global legal and policy matters, drawing on his expertise in data protection and emerging technologies. Kumar will scale the company's data collection and manufacturing operations, including initiatives using tactile-sensing gloves to capture human skills data for training robotics systems. The appointments follow Genesis AI's recent $105 million seed funding round, backed by Eclipse, Khosla Ventures and Bpifrance, alongside investors including Eric Schmidt and Xavier Niel.