London based – 4 days in office
WHO WE ARE:
We are an early-stage, venture-backed deep-tech company building an AI-powered, CAD-like software platform transforming how complex physical systems are engineered.
Our work sits at the intersection of AI, robotics and simulation, supporting customers across robotics integration, lab automation and advanced industrial systems.
WHAT YOU WILL BE DOING:
This is a hands‑on engineering role with significant product influence.
You will work directly with the CTO and senior leadership to design and deploy core product capabilities.
Responsibilities will include:
- Owning projects end-to-end – from ideation through to deployment
- Building and shipping highly technical software products for SMB and enterprise customers
- Developing advanced optimisation, simulation and control capabilities
- Contributing to generative AI functionality within engineering workflows
- Working directly with customers to understand real‑world engineering challenges
- Helping define technical standards, architecture and product direction
ESSENTIAL SKILLS:
2+ years’ commercial experience building highly technical software
OR a PhD in Computer Science, Robotics, Mechanical Engineering, ECE or similar
Strong experience in one or more of the following:
- Numerical optimisation
- Physical simulation / scientific computing
- Advanced robotic control systems
- Generative AI methodologies
- Geometry processing algorithms
Technical capability with:
- Python
- JAX OR PyTorch
NICE TO HAVE:
- Start‑up experience as an early engineering hire
- C++ OR C#
- CUDA kernel programming for GPU acceleration
- Experience with NVIDIA Warp OR Taichi‑Lang
- Unity OR NVIDIA Omniverse
- Please either apply by clicking online or emailing me direct at morgan.larkin@searchability.com. For further information feel free to call me on 0203 763 3888 or 07441 344 155. By applying for this role you are giving express consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only.
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