Job Description
Shape the future of technology at Nexus Quantum Labs, where we're pioneering the intersection of quantum computing and artificial intelligence for 2026. As a Quantum AI Research Scientist, you'll develop next-gen algorithms that solve previously unsolvable problems in cryptography, materials science, and climate modeling. Our state-of-the-art lab in San Francisco offers unparalleled resources to accelerate your breakthroughs.
Join our elite team of visionaries working on quantum neural networks and hybrid quantum-classical systems. We provide competitive compensation, flexible work arrangements, and opportunities to publish in top-tier journals. Your work will directly impact industries preparing for the quantum revolution of 2026.
Responsibilities
- Design and implement quantum machine learning algorithms for complex data analysis
- Develop error-corrected quantum circuits for AI model acceleration
- Collaborate with hardware engineers to optimize quantum-AI hybrid systems
- Lead research initiatives in quantum neural network architectures
- Publish findings in peer-reviewed journals and present at international conferences
- Secure external funding through NSF and DARPA grant applications
- Mentor junior researchers in quantum computing principles
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on quantum algorithm development experience
- Expertise in Python/C++ with quantum frameworks (Qiskit, Cirq, PennyLane)
- Strong background in machine learning and neural networks
- Published research in quantum computing or quantum machine learning
- Experience with superconducting or ion-trap quantum processors
- Ability to translate complex quantum concepts into practical applications