MTS - Research (Robotics Simulation Data)
$160K – $400K
via Ashby
About this role
POSITION OVERVIEW
We are seeking an Applied Scientist (Robotics Simulation) to design and build the physics-solving engine behind Collinear’s synthetic data generation platform. In this role, you will architect and optimize a next-generation simulation stack engineered purely for maximum data throughput, procedural environmental scale, and physical fidelity.
You will collaborate closely with GPU optimization engineers, procedural scene generation teams, and AI researchers pushing the limits of model training on synthetic data. The ideal candidate brings deep physics simulation expertise and hands-on experience implementing high-performance solvers on modern parallel GPU architectures.
KEY RESPONSIBILITIES…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, c++, teams
2
Level fit
We check your title trajectory against the seniority signal of the role.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in a specific location. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonc++teams