SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Sygaldry Technologies is building quantum-accelerated AI servers to exponentially speed up training and inference for AI. By integrating quantum and AI, the company is accelerating the path to superintelligence while 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.
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 will 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 will 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 will 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. The role bridges theory and experiment, requiring you to translate cutting-edge R&D into commercial products and roadmap milestones.
Sygaldry operates at the intersection of physics, engineering, and AI with a culture that prioritizes curiosity, intellectual courage, and collaboration. The company offers industrial-scale compute and hardware resources while retaining the intellectual freedom of an academic environment. Benefits include visa sponsorship, company-sponsored health coverage, unlimited PTO, and regular team connection events.
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
