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Supports daily Ann Arbor office operations by organizing shared spaces, managing mail and packages, coordinating food and beverages, assisting with meetings and events, maintaining inventories and records, coordinating vendors, and communicating facilities needs. The role requires dependable, proactive, detail-oriented service, comfort with hands-on tasks, professional communication, discretion, and the ability to manage multiple priorities on-site.

Manage daily San Francisco office operations while providing proactive executive support to the co-founder and leadership team. Responsibilities include calendar and meeting coordination, domestic and international travel arrangements, vendor and facilities management, supplies and workplace services, office access, onboarding and offboarding logistics, guest visits, events, confidential information, and process improvement. The role requires strong organization, discretion, independent judgment, and a hands-on approach in a fast-growing environment.

Develop and improve ASTRA-sim for modeling and simulating heterogeneous AI hardware architectures. Integrate internal estimation tools into simulation frameworks, model distributed training, inference, and reasoning workflows across GPUs, CPUs, and novel accelerators, and collaborate with internal teams and external partners.

Lead the end-to-end fault-tolerant architecture integrating multiple qubit modalities, translate QEC theory into hardware-aware protocols, drive simulation and benchmarking frameworks, make architectural trade-offs under device constraints, co-design for AI/ML workloads, and mentor multidisciplinary teams.

Open application inviting scientists, engineers, and operators to apply for roles at the intersection of quantum computing and AI. Applicants should provide an introduction, explain their interest, describe desired roles, share relevant work, and note availability for Ann Arbor or San Francisco offices. The company offers visa sponsorship, competitive compensation, equity, health benefits, and unlimited PTO. Applications are reviewed on a rolling basis for current or future fits.

Design, implement, and optimize hardware-ready quantum circuits and software. Build and maintain compilation/transpilation tooling, profile and benchmark performance, collaborate with research and hardware teams, and contribute to internal quantum software infrastructure.

Lead design and implementation of a distributed simulation, modeling, and emulation environment for high-performance AI hardware. Define the simulation roadmap, build simulation infrastructure from scratch, integrate estimation tools, model training/inference workflows on heterogeneous GPU/CPU/accelerator clusters, and collaborate with internal teams and external partners.

Research and develop quantum-accelerated AI algorithms and theory across generative modeling, probabilistic inference, optimization, and scientific machine learning. Design quantum algorithms and resource estimates, build hybrid quantum-classical workflows, prototype systems in Python/JAX/PyTorch and quantum frameworks, and collaborate with hardware teams to inform architecture and benchmarking.

Lead applied collaborations bringing quantum-native generative methods into partner domains: design benchmarks, prototype and validate proofs-of-concept, benchmark against trusted reference methods, produce reproducible evidence and resource models, and communicate technical results to partners while informing internal research directions.