Job Description
Join the forefront of technological evolution as a 2026 Quantum AI Architect at Nexus Quantum Labs. We're pioneering the next generation of quantum-AI hybrid systems that will redefine computational possibilities. This role sits at the intersection of quantum mechanics, machine learning, and scalable infrastructure design. You'll architect solutions for our 2026 roadmap, developing breakthrough algorithms that leverage quantum advantage for real-world applications in cryptography, optimization, and autonomous systems. Our state-of-the-art facility in San Francisco offers unparalleled resources for experimentation and collaboration with Nobel laureates and industry pioneers.
Responsibilities
- Design and implement quantum-AI hybrid architectures targeting 2026 computational milestones
- Develop novel quantum machine learning algorithms for enterprise-scale applications
- Lead cross-disciplinary R&D teams in prototyping next-gen quantum processors
- Optimize quantum circuit performance for cloud-based quantum computing platforms
- Establish security protocols for post-quantum cryptographic systems
- Collaborate with hardware teams to co-design quantum-resistant infrastructure
- Drive innovation in quantum error correction techniques for fault-tolerant computing
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Proven track record in developing AI/ML models for high-performance computing environments
- Deep understanding of quantum algorithms (Shor's, Grover's, VQE) and their practical implementations
- Experience with cloud quantum computing platforms (IBM Quantum, Rigetti, Amazon Braket)
- Strong background in distributed systems and scalable architecture design
- Published research in top-tier quantum computing journals or conferences