Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence solutions that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-generation algorithms for quantum machine learning, collaborate with Nobel laureates, and publish breakthrough research in top-tier journals. Our state-of-the-art facility in San Francisco offers unparalleled resources, including a 100-qubit quantum processor and a $20M annual research budget. Shape the future of human intelligence while enjoying competitive equity, flexible work arrangements, and unparalleled professional development.
Responsibilities
- Design and implement quantum algorithms for AI optimization problems
- Develop hybrid quantum-classical neural network architectures
- Lead cross-functional R&D teams on quantum computing projects
- Publish 2+ peer-reviewed papers annually in Nature/Science journals
- Secure $5M+ in government/industry research grants
- Mentor PhD candidates and junior researchers
- Collaborate with quantum hardware teams to optimize algorithm performance
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics
- 3+ years experience with quantum programming (Qiskit, Cirq, or Q#)
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow, and high-performance computing
- Deep understanding of quantum error correction and fault tolerance
- Strong track record of securing research funding
- Experience mentoring graduate-level researchers