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.
Founding Engineer at Gradient Dynamics
Gradient Dynamics is bridging the divide between traditional simulation and machine learning to build the full-stack Physics AI platform for engineering. As a Founding Engineer at this VC-backed London startup, you will work directly with founders James Sadler and Dr. Rotimi Alabi (formerly CEO of RAB-Microfluidics) to develop GPU-native multiphysics solvers and neural operator models. From debugging pressure-velocity coupling to fine-tuning JAX/XLA operators, you will have deep technical ownership over the core architecture. If you are a PhD-level engineer with expertise in CFD and GPU programming, join us to build a unified system from first principles and help define an entirely new category of engineering software.
Want to apply for this role?
Jack finds you jobs at companies like Gradient Dynamics. Talk to Jack to get considered for roles that fit what you're great at.
Location
London, United Kingdom
Compensation
Not Disclosed + Equity
Company
Gradient Dynamics
Role overview
Gradient Dynamics develops GPU-native simulation and optimization technology that helps engineering teams move faster from concept to production.
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.
Who this is a fit for
- 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.
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.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.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.
I recruit from Jack’s network and make the intro when I spot a great match.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.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
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 your profile’s a match and Gradient Dynamics wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.