Jobs at Sygaldry

Lead technical partnerships and GTM programs to bring quantum-accelerated AI servers to market. Manage account portfolio, drive customer engagements and technical proofs, influence product direction, run cross-functional programs, and codify scalable partnership processes.

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.

Develop and evaluate quantum error correction and fault-tolerance protocols for multi-modality qubit hardware, build simulation and modeling tools, lead multidisciplinary research projects, and translate hardware-aware schemes toward deployable systems.

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.

Hands-on experimental physicist role building, operating, and optimizing quantum hardware. Design and characterize optical or cryogenic systems, implement qubit control/readout protocols, integrate control electronics and measurement systems, automate experiments, analyze results, and collaborate across teams to scale quantum platforms.

Lead identification, development, and execution of strategic growth opportunities and anchor customer/partner relationships. Manage strategic accounts, negotiate complex commercial agreements, translate technical roadmaps into customer value, partner with engineering/product teams, and represent the company at industry events.

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 corporate IT and security for a fast-growing quantum-AI hardware company: manage identity, endpoints, MDM, SSO/MFA, EDR/SIEM, Zero Trust, SOC 2 readiness, physical security, procurement, vendor relationships, incident response, documentation, and AI tool governance while building and directing a small team of contractors and future hires.

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.