Summary
✨ AI‑Generated
An engineering role developing robot learning systems through simulation, AI training methods, synthetic data pipelines, and sim-to-real deployment techniques.
Highlights
Opportunity to work on advanced robotics systems, simulation pipelines, AI-driven learning methods, and real-world robot deployment challenges.
Description
Connect with me for more opportunities: https: //www.linkedin.com/in/arianit-krasniqi-b6ba66388/
I'm partnering with an ambitious robotics company building and deploying humanoid robots in real factory environments.
They're looking for a Simulation & Robot Learning Engineer to own the pipeline from high-fidelity simulation and large-scale data generation to policies that reliably transfer onto physical robots.
In this role, you'll:
Build and tune simulation environments, assets, physics, scenes, and manipulation tasks
Train robot policies using RL, imitation learning, diffusion policies, VLAs, and/or world models
Close the sim-to-real gap through domain randomization, system identification, calibration, and real-world debugging
Build scalable synthetic data, teleoperation, procedural generation, and automated curriculum pipelines
Use agentic AI to automate environment, task, reward, evaluation, and data generation
Develop benchmarking infrastructure that makes simulation performance predictive of hardware performance
They're looking for someone with 4+ years of hands-on experience building simulation environments and deploying learned policies on real robots.
Deep experience with Isaac Sim, MuJoCo, Drake, Gazebo, SAPIEN, Genesis, or similar is important, along with strong Python, PyTorch or JAX, and enough C++ to work close to the system.
Experience with manipulation, deformable objects, bimanual systems, humanoids, GPU-accelerated simulation, or VLA/world models is a strong plus.
This is an on-site opportunity in New York City with significant ownership over the simulation and learning stack and the chance to solve some of the hardest problems in getting learned robotic behavior to work reliably in the real world.
