Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking visionary Quantum AI Research Scientists to develop groundbreaking algorithms that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical concepts into real-world applications across healthcare, climate modeling, and autonomous systems.
This role offers a unique opportunity to shape the future of human-machine intelligence while collaborating with Nobel laureates and Turing Award winners. We provide competitive equity packages, flexible hybrid work arrangements, and continuous learning stipends to ensure your professional growth aligns with our mission to democratize quantum AI innovation.
Responsibilities
- Design and implement quantum machine learning algorithms for complex data optimization challenges
- Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
- Publish breakthrough research in peer-reviewed journals and present at global tech summits
- Collaborate with hardware engineers to co-design next-generation quantum processors
- Develop ethical frameworks for responsible quantum AI deployment
- Secure $5M+ in government and private research funding
- Mentor PhD candidates in quantum information science
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Publication record in top-tier conferences (NeurIPS, ICML, QIP)
- Expertise in quantum error correction and fault-tolerant architectures
- Proficiency in Python, TensorFlow, and high-performance computing
- Strong background in theoretical computer science and information theory
- Demonstrated ability to translate complex research into commercial applications
- Security clearance eligibility preferred