Job Description
Join Nexus Quantum Technologies at the forefront of computational evolution! We're seeking a pioneering Quantum AI Research Scientist to architect the next generation of hybrid quantum-neural systems. Shape the future by solving previously unsolvable problems in cryptography, optimization, and machine learning. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world applications.
This role provides equity, unlimited PTO, and relocation assistance for exceptional talent. Collaborate with Nobel laureates and industry disruptors in an environment where innovation isn't just encouraged—it's expected.
Responsibilities
- Design and implement novel quantum machine learning algorithms for complex data modeling
- Lead cross-functional R&D projects integrating quantum processors with classical AI frameworks
- Develop proprietary error-correction techniques for quantum neural networks
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior scientists and drive technical strategy for quantum AI roadmap
- Secure government and private research funding for experimental initiatives
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- Expertise in quantum circuit design and quantum programming languages (Qiskit, Cirq)
- Proven track record of developing production-level ML systems (TensorFlow/PyTorch)
- Strong background in quantum information theory and quantum algorithms
- Published research in quantum machine learning or quantum computing
- Experience with high-performance computing and parallel processing
- Exceptional problem-solving abilities for abstract mathematical challenges