Senior Research Scientist
Core
Design, implement, validate, and operate major Physical AI platform components, including scalable infrastructure for training and serving multimodal and robotics models.
Role type
Senior Research Scientist (Physical AI & Robotics Infrastructure)
Builds
Scalable infrastructure for training and serving multimodal and robotics models (vision-language-action, world models, robot policies)
Domain
Robotics, Physical AI, Machine Learning Systems
Deliverable
production ML models
Required skills
software and systems engineering fundamentals, designing and operating production-scale distributed or data-intensive systems, robotic learning, AI training and inference infrastructure, robotics data and simulation systems
Preferred skills
imitation learning, reinforcement learning, vision-language-action models, world models, policy evaluation, distributed training, inference engines, GPU kernels, collective communication, synthetic data generation, simulation, data curation, sim-to-real workflows
Technologies
Isaac Lab, Isaac Sim, MuJoCo, Cosmos, vLLM-Omni, SGLang Omni, RLInf
Responsibilities
Own the design, implementation, validation, and operation of major Physical AI platform components; Develop scalable infrastructure for training and serving multimodal and robotics models; Translate research ideas into production-ready capabilities; Lead technical design for complex projects and drive production adoption; Mentor engineers and contribute to shared architecture and engineering standards
Seniority
Senior, hands-on IC
