Job Description
Shape the future in 2026 as our Quantum AI Research Lead at Nexus Innovations. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. Join our elite team at the forefront of technological revolution.
This role offers unparalleled access to our $500M quantum infrastructure and collaboration with Nobel laureates. You'll lead breakthrough research in quantum machine learning algorithms while mentoring the next generation of quantum pioneers. Our state-of-the-art San Francisco campus features immersive labs and collaborative spaces designed for radical innovation.
We offer competitive equity packages, flexible hybrid work arrangements, and comprehensive wellness programs including mindfulness studios and on-site nutritionists. Your work will directly impact fields from drug discovery to climate modeling, with opportunities to publish in top-tier journals and present at global tech summits.
Responsibilities
- Design and implement quantum-enhanced machine learning frameworks for real-world applications
- Lead cross-functional teams of quantum physicists, AI specialists, and software engineers
- Develop novel quantum algorithms outperforming classical computing in optimization problems
- Secure research partnerships with leading academic institutions and government agencies
- Publish breakthrough research in Nature/Science journals and present at IEEE Quantum Week
- Drive commercialization of quantum AI solutions through our innovation pipeline
- Mentor junior researchers and establish new quantum AI research methodologies
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning with 5+ years industry experience
- Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum error correction
- Proficiency in quantum programming languages (Q#, Quil, Cirq) and classical AI frameworks (TensorFlow, PyTorch)
- Proven track record of peer-reviewed publications in quantum/AI intersection
- Experience leading quantum research teams with $1M+ project budgets
- Deep understanding of quantum hardware architectures (superconducting, ion trap, photonic)
- Exceptional ability to communicate complex quantum concepts to diverse stakeholders