Job Description
Join NexusLabs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. As the 2026 Quantum AI Research Lead, you'll architect breakthrough solutions in computational physics, machine learning, and quantum algorithms. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical models into scalable applications that will redefine industries.
We're seeking a visionary leader to drive our quantum-AI initiatives, collaborating with Nobel laureates and industry disruptors. This role offers equity participation, flexible work arrangements, and the opportunity to shape humanity's technological horizon.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for complex computational problems
- Lead cross-functional teams of quantum physicists, ML engineers, and domain experts
- Develop patent-pending methodologies for quantum error correction and neural network optimization
- Publish groundbreaking research in top-tier journals and present at global tech conferences
- Secure $5M+ in research grants and establish industry partnerships
- Mentor next-generation researchers through our Quantum Innovation Fellowship program
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 5+ years of experience in quantum algorithm development or AI research leadership
- Published work in Nature/Science or equivalent tier journals
- Proficiency in quantum programming frameworks (Qiskit, Cirq) and ML frameworks (PyTorch, TensorFlow)
- Demonstrated ability to secure major research grants
- Expertise in high-performance computing and distributed systems