Centific
Principal Research Scientist – Vision AI, Simulation & Physical AI
$200K–$300K
Remote Work( USA) · Principal · Full-time · Posted Sep 1, 2026
- Experience
- 5+ years of research experience in academia, industry, or advanced R&D environments.
- Education
- Ph.D. in Computer Science, Robotics, Machine Learning, Computer Vision, Autonomous Systems, or a related field.
About the job
Leads research and a small team developing multimodal foundation models, simulation-based learning, and embodied AI for robotics and autonomous systems, translating research into deployable systems and IP.
What you'll do
- Set and lead research in vision and multimodal AI, simulation, agentic AI, and embodied intelligence; contribute to model design, training, benchmarking, and publications.
- Develop methods for perception, reasoning, robotics capabilities, sim2real transfer, and autonomous decision-making.
- Mentor researchers and interns and establish rigorous, reproducible evaluation frameworks.
What they ask for
- Ph.D. in Computer Science, Robotics, Machine Learning, Computer Vision, Autonomous Systems, or a related field.
- Strong publication record in top research venues.
- Demonstrated experience advancing large-scale foundation models, architectures, or training methods in a relevant AI or robotics area.
- Expertise in PyTorch and/or JAX, GPU training, distributed experimentation, and large-scale model development; ability to lead technical programs and mentor junior researchers.
Nice to have
- Publications or patents in relevant areas such as multimodal foundation models, robotics, autonomous driving, or embodied AI.
- Experience with vision AI, simulation and 3D stacks, agentic systems, robotics learning, or large-scale training and deployment infrastructure.
Pay
$200,000-$300,000 USD base salary; OTB amount and pay type not specified.
Tools
PyTorch, JAX, Isaac Sim, Isaac Lab, MuJoCo, Omniverse, Ray, Kubernetes
AI focus
Research and development of multimodal foundation models, vision AI, simulation-first learning, agentic AI, world models, and embodied intelligence for robotics and autonomous systems.
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