Offer summary

Qualifications:

Strong background in calculus, linear algebra, and numerical methods., 5+ years of experience in Rust, C++, or systems programming., Educational background in physics, computational engineering, or related fields., Ability to work autonomously and contribute ideas in a collaborative environment..

Key responsibilities:

Develop and optimize algorithms for simulation and physics engines.

Implement math-heavy logic using advanced mathematical techniques.

Collaborate with engineers and digital twin specialists on system development.

Contribute to building scalable, real-time analysis systems for the AEC industry.

Job description

Our client is building the next generation of simulation and modeling software for the built environment, and they need systems developers who see the world through the lens of math and performance.

We're looking for a Rust/C++ Developer with a strong calculus background to help us design and optimise high-performance components for engineering simulations, digital twins, and parametric modeling tools used in the AEC industry.

You'll work on the guts of our core engine - handling geometry, physics, and time-based calculations - all while writing clean, low-level code that scales with complexity. You'll be expected to work autonomously and contribute with ideas, not just code.

What You'll Do

Develop and optimise algorithms in Rust and C++ for simulation, geometry, and physics engines
Implement math-heavy logic using calculus, linear algebra, and numerical methods
Collaborate with computational designers, civil/structural engineers, and digital twin specialists
Build scalable systems for large model handling, real-time analysis, and parametric design workflows
Contribute to a platform that bridges the physical and digital world of construction and infrastructure
Bring your own ideas to the table - from architectural decisions to algorithmic improvements

What We're Looking For

5+ years of experience in Rust, C++, or systems programming
Deep understanding of calculus, differential equations, and numerical methods
Background in physics, computational engineering, or a related field
Bonus: Experience with CAD kernels, structural analysis tools, FEM, or GIS systems
Comfortable working across abstractions while staying close to the metal
Self-starter who thrives in a collaborative but autonomous environment

Perks