Simulation Infrastructure
This listing is for a Simulation Infrastructure role at Genesis, in London, United Kingdom. It is listed as a full-time position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
This listing is for a Simulation Infrastructure role at Genesis, in London, United Kingdom. It is listed as a full-time position.
No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.
Benefits mentioned in the advert: bonus.
The advert does not mention visa sponsorship. If you would move to United Kingdom for this job, check the official work permit route first (DGJ Insight lists it where we have it).
Dev Global Jobs found this job on Arbeitnow on Nov 2, 2026.
- Employer
- Genesis
- Location
- London, United Kingdom
- Job type
- Full-time
- Pay
- Not stated by the employer
- Found
- Nov 2, 2026 on Arbeitnow
- Employer text
- 197 words, about 1 min to read
- Apply only on the official page (arbeitnow.co.uk). Dev Global Jobs is not the employer and never asks for a fee.
- Read the employer’s full text below (about 1 min) before you apply.
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DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
UN living-cost index for United Kingdom (ICSC post adjustment 76.4), as of 1 Oct 2026.
Source: ICSC post adjustment classifications (icsc.un.org)
- Skilled Worker visa: Job offer from a licensed sponsor at the required skill and salary level; English requirement
- Health and Care Worker visa: Eligible health and social care roles with a licensed sponsor
- Global Talent visa: Endorsement as a leader or potential leader in a listed field
Official routes: UK Visas and Immigration (GOV.UK)
About the role
Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.
01What You’ll Do
Build core simulation-centered infrastructure for robotics model development, evaluation, and iteration.
Design scalable systems for creating, running, and managing diverse simulation workloads across tasks, environments, and robots.
Develop reusable environment frameworks, task interfaces, and tooling that make simulation workflows more reliable and observable.
Work with the policy training team to bridge the sim-to-real gap
Develop a real-to-sim pipeline in collaboration with the asset generation team
Collaborate with a team of driven individuals committed to building general-purpose Physical AI
02What You’ll Bring
Passion for your craft and demonstrated excellence in physics simulation engineering
Exceptional ownership and initiative: finding and solving problems independently
Extensive experience in physics simulation, with a preference for expertise in rigid body simulation and FEM
Insights and requests from a robotic researcher/engineer’s perspective for improving user experience
Proficiency in CUDA and GPU programming
03Bonus Points
Built closed-loop or log-replay evaluation at scale.
Experience with robotics simulation tools such as genesis-world, Isaac Sim, MuJoCo, Newton, Drake, Gazebo, or similar platforms.
Experience with synthetic data, scene generation, asset pipelines, sim-to-real, or robotics benchmarks.
Experience with robot manipulation, mobile manipulation, humanoids, or embodied AI systems.
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