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We build the simulation infrastructure for physical AI. We develop GenAI-powered tools that enable robotics teams to create unlimited, diverse training data and realistic evaluation environments. Our team spun out of MIT CSAIL, where we pioneered techniques that trained robots using only synthetic data. We're helping robotics companies transition to AI-native development workflows.
We're a lean team of researchers and engineers from DeepMind, OpenAI, FAIR, and top universities including MIT, Berkeley, Caltech, Harvard, and Yale. We've published best papers at top robotics conferences, won International Olympiad medals, and built core systems at leading AI labs. We believe in building complex systems that bring simplicity to our customers.
Global Team: We operate across US and China time zones. We value people who communicate proactively, document thoroughly, and take ownership of smooth handoffs across teams.
As our Research Program Manager, you will bridge cutting-edge research and product development. You'll manage the research roadmap, coordinate academic partnerships, and ensure our frontier work translates into customer value. This role requires deep technical understanding combined with exceptional organizational skills.
Own the research roadmap and coordinate priorities across research and product teams
Manage publication and patent strategy for our core technologies
Build and maintain relationships with academic labs and conference communities
Translate research breakthroughs into product capabilities and customer solutions
Coordinate research timelines while preserving space for exploration and discovery
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5+ years in research operations, technical program management, or applied research
PhD or strong research background in ML, robotics, or related field
Track record of shipping research into production systems
Strong relationships in the robotics/ML research community
Comfort with ambiguity; ability to prioritize research bets with incomplete information
Excellent written and verbal communication
Publications at top venues (CoRL, ICRA, RSS, NeurIPS, ICML)
Experience at research labs (DeepMind, FAIR, OpenAI, Google Brain)
Familiarity with simulation, synthetic data, or sim-to-real transfer
We believe diverse teams build better products. Even if you don't meet every requirement listed, we encourage you to apply if you're excited about this role and our mission.
Simulation infrastructure and synthetic data for training robots.
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Mid · 5+ years experience
Onsite
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