4 дня назад
Simulation Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Simulation Engineer (AI): Building hybrid simulation environments and evaluation harnesses for training general-purpose robot policies with an accent on generative models and physics engines. Focus on designing scalable simulation pipelines, solving sim-to-real transfer challenges, and ensuring physical consistency.
Location: Redwood City, CA (Hybrid)
Company
is building unified general intelligence capable of generating, understanding, and operating in the physical world through multimodal vision-based models.
What you will do
- Design simulation environments that blend generative rollouts with physics-engine scenes.
- Build evaluation harnesses to measure sim-to-real gaps, physical consistency, and long-horizon coherence.
- Develop differentiable and GPU-accelerated simulation pipelines to unlock new training signals.
- Drive asset, scene, and task generation pipelines using 's generative stack.
- Collaborate with world-model and policy-learning research teams.
Requirements
- Strong background in robotics simulation, computer graphics, physics-based modeling, or generative 3D.
- Fluency in Python and C++.
- Deep familiarity with at least one production physics engine such as Isaac Sim/Lab, MuJoCo, Bullet, PhysX, or Drake.
- Proven track record of building simulation systems used by others.
- Ability to work on-site in Redwood City, CA.
Nice to have
- Research experience in sim-to-real transfer, domain randomization, or neural-rendering-based simulation.
- Background in game engines, CGI, animation, or photogrammetry.
- Publications at top venues like CoRL, RSS, ICRA, NeurIPS, or SIGGRAPH.
Culture & Benefits
- Opportunity to work at the intersection of generative AI and robotics.
- Collaborative research-driven environment.
- Focus on building scalable, high-impact simulation infrastructure.
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