Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As an AI Quantum Computing Research Scientist, you'll develop breakthrough algorithms that harness quantum mechanics to accelerate machine learning capabilities. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into real-world applications.
We value interdisciplinary collaboration and offer competitive equity packages, flexible work arrangements, and dedicated R&D time. Help us shape the next decade of computational science while working alongside Nobel laureates and Turing Award winners.
Responsibilities
- Design and implement quantum-enhanced machine learning algorithms for 2026-era applications
- Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
- Publish research in top-tier journals and present at international conferences
- Collaborate with hardware engineers to optimize quantum system performance
- Secure and manage multi-million dollar research grants from government and industry partners
- Mentor junior researchers and contribute to patent development
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or similar)
- Expertise in machine learning frameworks (TensorFlow/PyTorch) and algorithm optimization
- Published research in quantum machine learning or quantum information theory
- Strong mathematical background in linear algebra, probability, and quantum mechanics
- Experience with high-performance computing environments
- Track record of securing competitive research funding