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Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference for AI by integrating quantum and AI technologies. The company combines multiple qubit types within a single, fault-tolerant architecture to deliver cost-effective, scalable solutions for advanced AI applications.
In this role, you will develop theoretical and numerical models of qubit devices, gate operations, and physical-layer processes to guide next-generation processor design. You'll design and evaluate system architectures under hardware-specific constraints and realistic noise models, translating device-level physics into architecture-level requirements and vice versa. You'll determine error budgets and gate fidelity requirements from architecture-level targets, and build simulation and modeling tools for system design, performance analysis, and roadmap planning.
You'll work directly with the hardware team to inform device design and validate models, and lead high-impact research projects with a multidisciplinary team of experimental and theoretical physicists, engineers, and computer scientists. This is an opportunity to work at the intersection of quantum mechanics and AI, tackling some of the hardest challenges in the field with a grounded, optimistic, and rigorous culture.
The company emphasizes intellectual freedom similar to an academic environment while providing access to industrial-scale compute and hardware resources. They value mission over ego, collaborative problem-solving, and a strong sense of shared purpose.
REQUIREMENTS:
- PhD in physics, applied physics, computer science, electrical engineering, or equivalent degree in a similar field
- 5–10 years of experience in the theory and modeling of quantum computing hardware
- Publications in quantum device physics, quantum architecture, or related fields
- Strong programming skills in a scientific computing environment
- Proven track record of successful cross-team collaborative projects
- Excellent written and verbal communication skills
STRONG CANDIDATES MAY HAVE:
- Experience translating cutting-edge R&D into commercial products or roadmap milestones
- Experience with the modeling of 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
