Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that redefine computational boundaries in cryptography, materials science, and climate modeling.
Our state-of-the-art facility in downtown San Francisco houses D-Wave's latest quantum processors and NVIDIA's quantum-optimized AI clusters. You'll collaborate with Nobel laureates and Turing Award winners in an environment where breakthroughs are measured weekly, not yearly. We offer equity grants, flexible hybrid work, and unparalleled professional development in quantum machine learning.
Responsibilities
- Design and implement hybrid quantum-classical AI frameworks for real-world optimization problems
- Develop novel quantum neural network architectures leveraging 2026-era hardware capabilities
- Lead cross-functional teams in translating theoretical quantum algorithms into production-ready solutions
- Author peer-reviewed publications in Nature Quantum and IEEE Quantum Journals
- Secure $5M+ in government grants for quantum-AI research initiatives
- Mentor PhD candidates in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning with 3+ years industry experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and tensor networks
- Published research in quantum error correction or variational quantum algorithms
- Proficiency in Python/C++ with frameworks like TensorFlow Quantum or PennyLane
- Deep understanding of quantum supremacy benchmarks and NISQ-era constraints
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)