Jack & Jill
Founding Engineer (+ Equity) at Gradient Dynamics
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Job Title
Founding Engineer - Multiphysics Simulation & Physics AI
Salary
Not Disclosed + Equity
Company Description
Gradient Dynamics is a VC-backed London deep-tech startup building a full-stack Physics AI platform to revolutionize engineering. Founded in 2025 by James Sadler and Dr. Rotimi Alabi, the company bridges the gap between traditional multiphysics simulation and modern machine learning using GPU-native solvers and proprietary datasets.
Job Description
Join Gradient Dynamics as a Founding Engineer to build the next generation of Physics AI infrastructure. You will work across the full technical stack, from GPU-native solver development and mesh generation to training neural operators. This role is ideal for engineers seeking deep technical ownership at the intersection of simulation, AI, and HPC.
Location
London, UK
Why this role is remarkable
- You will help define the technical foundations of a category-defining company, bridging the artificial divide between traditional computational physics and high-performance machine learning.
- Work directly with experienced founders James Sadler and Dr. Rotimi Alabi, shaping the core architecture of a platform validated by early commercial partners and academic beta users.
- Gain meaningful early-stage equity participation while solving foundational technical problems in aerodynamics, thermal management, and differentiable optimization on GPU-native systems.
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What You Will Do
- Develop and optimize GPU-native multiphysics solvers, writing high-quality scientific code to maximize throughput on high-performance computing (HPC) systems.
- Train and evaluate neural operator models like FNO and DeepONet on proprietary simulation datasets, iterating on model architectures to enhance engineering optimization workflows.
- Design systems for computational geometry and mesh generation at the intersection of numerical methods and parallel architectures to represent complex engineering designs.
The ideal candidate
- Holds a PhD or equivalent industry experience in computational physics, mechanical engineering, or ML for science, with a focus on fluid dynamics and Navier-Stokes equations.
- Demonstrates expertise in writing production-quality scientific code (Finite Volume or Element methods) from scratch using Python and GPU programming concepts like CUDA or JAX.
- Possesses the ability to operate autonomously in a fast-paced startup environment, seamlessly switching between solver numerics, data pipelines, and scientific machine learning model training.
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Who are Jack & Jill?
Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
How does this work?
Jack's an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
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