Collinear AI
MTS - Research (Robotics Simulation Data)
Sunnyvale, California
Sponsorship not specifiedDetected 37 days ago
PythonC++AlgorithmsMachine LearningSystems EngineeringRoboticsResearchLeadership
Stay score
odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 9 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- The ideal candidate brings deep physics simulation expertise and hands-on experience implementing high-performance solvers on modern parallel GPU architectures.
Responsibilities
- Training Data Optimization: Partner with team members to design simulation environments, domain randomization strategies, and physics parameter ranges that yield high-utility training datasets for downstream AI models.
- Procedural Scene & Scale Integration: Collaborate with scene-generation engineers to scale environment variations, physical property distributions, and dynamic multi-agent interactions across billions of simulation steps.
- Performance Profiling: Profile and optimize simulation execution at scale, minimizing latency and memory overhead in multi-GPU, parallelized rollout pipelines.
- Partner with team members to design simulation environments, domain randomization strategies, and physics parameter ranges that yield high-utility training datasets for downstream AI models.
- Collaborate with scene-generation engineers to scale environment variations, physical property distributions, and dynamic multi-agent interactions across billions of simulation steps.
- Profile and optimize simulation execution at scale, minimizing latency and memory overhead in multi-GPU, parallelized rollout pipelines.
Requirements
- Physics Solver Innovation: Improve and develop advanced physics solvers and numerical modeling methods for high-degree-of-freedom interactions, complex contact dynamics, deformables, and fluids.
- Improve and develop advanced physics solvers and numerical modeling methods for high-degree-of-freedom interactions, complex contact dynamics, deformables, and fluids.
Nice to have
- Experience with deformables, fluids, soft bodies, or differentiable simulation is a plus.
- Numerical Methods & Dynamics: Deep understanding of classical mechanics, contact modeling, constraint solvers, integrators, and managing accuracy-vs-speed trade-offs for large-scale computation.
- GPU Programming: Advanced expertise in CUDA and GPU optimization, with a proven ability to accelerate numerical algorithms on parallel hardware architectures.
- Systems Engineering: High proficiency in C++ and Python, with a track record of building reliable, high-throughput software used in production data or ML pipelines.
- ML Infrastructure Familiarity: Strong grasp of how ML frameworks consume simulation outputs (e.g., vectorized environments, massively parallel rollouts, synthetic dataset generation).
- Track Record: Publications, open-source contributions, or shipped commercial systems in numerical computing, graphics, physics simulation, or synthetic data generation.
- MS or PhD in Physics, Computer Science, Applied Math, Engineering, or equivalent hands-on industry experience in physics-based simulation.
- Physics Engine Expertise:
Apply directly at Collinear AI →Create a free account for alerts like thisView Collinear AI immigration profile
This listing is sourced directly from Collinear AI's careers page and normalized into a canonical job model.