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16 часов назад

Research Engineer/Scientist (Simulation)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Research Engineer/Scientist (Simulation) (Robotics/Embodied AI): Building facility-scale simulated worlds, procedural environments, and photorealistic rendering pipelines for wheeled mobile-manipulation policies with an accent on real-to-sim reconstruction, synthetic data generation, and joint base-and-arm evaluation. Focus on closing the sim-to-real gap, designing large-scale simulation benchmarks, and connecting simulated failure modes to real-world policy development.

Location: Redwood City, California, United States; on-site

Company

hirify.global develops general-purpose wheeled mobile manipulators powered by an embodied AI foundation model and deployed across multiple industries.

What you will do

  • Build an end-to-end real-to-sim pipeline for facility-scale environments, including 3D reconstruction and photorealistic re-rendering.
  • Generate navigable layouts, obstacles, and object placements procedurally to stress-test loco-manipulation policies.
  • Create synthetic training data for policies coordinating mobile-base positioning and arm manipulation.
  • Develop simulation benchmarks for VLA, imitation learning, diffusion, and reinforcement-learning policies.
  • Improve rendering fidelity to reduce the sim-to-real gap for vision-based loco-manipulation.
  • Collaborate with AI Research and Data Ops to prioritize simulation data and real-world capture.

Requirements

  • MS or PhD in computer science, robotics, graphics, or equivalent hands-on experience.
  • Hands-on experience with robotics or graphics simulation stacks such as MuJoCo, Isaac Sim, Isaac Lab, SAPIEN, Omniverse, or Blender.
  • Experience with procedural scene or asset generation, domain randomization, or photorealistic rendering pipelines at scale.
  • Familiarity with manipulation or loco-manipulation policy training and evaluation, including imitation learning, VLA, diffusion models, or reinforcement learning.
  • Strong Python skills and comfort with PyTorch or JAX.
  • Senior-level ownership and independent judgment in defining a simulation-focused research agenda.

Nice to have

  • Real-to-sim-to-real pipelines, 3D reconstruction, NeRF, Gaussian splatting, or differentiable rendering.
  • World-model or video-prediction research, learned dynamics, or latent world models.
  • GPU-scale physics simulation, CUDA, or large-batch parallel simulation.
  • Simulation of wheeled or mobile manipulators and experience with loco-manipulation or whole-body control.
  • Publications at CoRL, RSS, ICRA, NeurIPS, CVPR, or SIGGRAPH, or experience mentoring a small research team.

Culture & Benefits

  • Work on real-world robotic automation across varied commercial environments.
  • Collaborate with researchers and engineers from leading technology companies and academic institutions.
  • Environment focused on technical rigor, mutual respect, problem-solving, and grit.
  • Equal-opportunity workplace committed to team diversity.

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