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Active3d ago

Senior Manager, Device and AMO Theory

Sygaldry Technologies·📍 Ann Arbor, Michigan, United States

Employment

FULL TIME

Work mode

On-site

Experience

SENIOR LEVEL

Salary

$160,000–$209,000 / year · Jobiba est.

Market pay estimate

$160,000–$209,000 / year for comparable Senior Manager roles in United States. Estimated from 117 similar postings (high confidence) — not stated by the employer.

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Role overview

Job description

About Sygaldry Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference for AI. By integrating quantum and AI, we're accelerating the path to super intelligence, and engineering the conditions for it to scale efficiently and operate affordably. Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to deliver the combination of cost, scale, and speed necessary for advanced AI applications. We pioneer new domains in physics, engineering, and AI, tackling the hardest challenges with a grounded, optimistic, and rigorous culture. We're looking for individuals ready to define the intersection of quantum and AI and drive its profound global impact. What You'll Work On Build, lead, and mentor a team of device and architecture theorists, including hiring and developing its members Set the research agenda for device theory, aligned with Sygaldry's architecture and product roadmap Develop theoretical and numerical models of qubit devices, gate operations, and physical-layer processes to guide next-generation processor design Design and evaluate system architectures under hardware-specific constraints and realistic noise models Translate device-level physics into architecture-level requirements, and architecture-level goals into concrete device specifications Own error budgets and gate fidelity requirements derived from architecture-level targets Oversee the development of simulation and modeling tools for system design, performance analysis, and roadmap planning Partner directly with the hardware team to inform device design and validate models against experiment Lead high-impact research projects with a multidisciplinary team of experimental and theoretical physicists, engineers, and computer scientists Represent Sygaldry's device theory work to the scientific community, partners, and investors You May Be a Good Fit If You Have A PhD in physics, applied physics, computer science, electrical engineering, or an equivalent degree in a similar field 8+ years of experience in the theory and modeling of quantum computing hardware A strong publication record in quantum device physics, quantum architecture, or related fields Experience leading a research team, through direct people management or formal technical leadership Strong programming skills in a scientific computing environment A proven track record of successful cross-team collaborative projects Excellent written and verbal communication skills, including with non-specialist audiences Strong Candidates May Have Experience translating cutting-edge R&D into commercial products or roadmap milestones Experience modeling multiple or heterogeneous qubit platforms Experience translating abstract models into hardware-aware protocols Experience bridging theory and experiment on real quantum hardware Familiarity with quantum error correction and fault-tolerant architecture Experience building a team from an early stage in a startup or industrial research setting Why This Matters Your work accelerates the path to quantum super intelligence. Each quantum component integrated, each AI model enhanced, each instruction set optimized brings us closer to a future where intelligence and quantum mechanics are inextricably intertwined. We're not building incremental improvements—we're creating exponential transformations that will make AI more affordable, sustainable, personalized, and fundamentally more capable. How We’re Different We’re building the infrastructure for quantum super intelligence and pioneering new domains at the intersection of physics, engineering, and AI. At Sygaldry, curiosity and intellectual courage drive our work. We approach ambitious challenges with a grounded, optimistic, and rigorous culture and know that kind people build the strongest teams. We prioritize mission over ego and collaborate openly with a strong sense of shared purpose. We dream big, yet we execute with a love of detail. Culture & Benefits The Best of Both Worlds: Access to industrial-scale compute and hardware resources while retaining the intellectual freedom of an academic environment. Visa Sponsorship: We know what it takes to make top talent thrive here. We’re open to supporting visas whenever possible. Compensation: We value your high-level expertise. This position offers a salary significantly above standard academic postdoctoral rates. Benefits: Your well-being matters. We provide company-sponsored health coverage to give you and your family peace of mind. Connection: Whether it’s company offsite or casual crew socials, we make time to connect, recharge, and have fun together. Time Off: We trust you to take the time you need. Unlimited PTO so you can rest, recharge, and come back ready to make an impact. We encourage applications from candidates with diverse backgrounds. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristics. We encourage you to apply even if you do not believe you meet every single qualification. If you don’t think this role is right for you, but you believe that you would have something meaningful to contribute to our mission, please reach out at letsbuild@sygaldry.com .

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About this listing

  • Source: Sygaldry Technologies's official careers site · still listed there on 14 Nov 2026
  • Posted 11 Nov 2026

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Department · Technical

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Sygaldry Technologies

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Sygaldry builds quantum-accelerated AI servers to exponentially speed up AI training and inference, cutting compute costs and improving energy efficiency

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