Principal Research Scientist – Autonomous Foundation Agents
Lead our core AI research group in developing self-improving, multi-modal foundation models and decision-making agents for automated scientific discovery.
We are recruiting world-class researchers, engineers, and hardware architects across our ten critical & emerging technology disciplines.
Lead our core AI research group in developing self-improving, multi-modal foundation models and decision-making agents for automated scientific discovery.
Investigate generative world models and causal predictive algorithms that accelerate discovery across robotics and materials physics.
Design ultra-low-noise microwave and cryogenic control hardware for fault-tolerant superconducting qubit architectures.
Spearhead novel non-Von Neumann and heterogeneous chiplet architectures that bypass thermal limits for ultra-dense AI compute.
Engineer deep learning pipelines for de novo protein design, lipid nanoparticle targeting, and synthetic mRNA optimization.
Conduct cutting-edge experimental research on precision molecular fermentation and bio-manufactured structural polymers.
Develop high-voltage solid-state inorganic electrolytes and structural carbon-composite battery cells for high-capacity applications.
Design provably secure post-quantum cryptographic primitives, zero-knowledge proof circuits, and hardened micro-kernels.
Build real-time spatial SLAM and decentralized flight control algorithms for collaborative autonomous drone fleets.
Synthesize carbon nanotube films, self-healing polymers, and passive sub-ambient radiative cooling optical coatings.
Engineer ultra-low power event-driven neuromorphic architectures and analog compute-in-memory arrays for edge telemetry.
Develop terabit-scale silicon photonics, optical transceivers, and software-defined network control planes for ultra-high-speed communication.
Whether you are applying for a specific position or submitting a general research inquiry, we welcome exceptional independent minds.