Job Description
Shape the future of human-machine intelligence at Nexus Quantum Labs. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges by 2026. As our Quantum AI Research Lead, you'll architect breakthrough systems that redefine computational boundaries.
Join a multidisciplinary team of Nobel laureates, quantum physicists, and AI visionaries in our state-of-the-art San Francisco lab. You'll drive research initiatives that could revolutionize drug discovery, climate modeling, and cryptographic security. This role offers unparalleled resources, including access to quantum processors with 10,000+ qubits and a $50M annual research budget.
Responsibilities
- Lead end-to-end development of quantum neural networks for next-gen AI systems
- Design hybrid quantum-classical algorithms achieving 1000x speedup over classical computing
- Collaborate with MIT and Caltech on quantum machine learning frameworks
- Secure patents for novel quantum optimization techniques
- Mentor PhD researchers in quantum algorithm design
- Publish findings in Nature Physics and Science journals
- Drive ethical AI protocols for quantum decision-making systems
Qualifications
- PhD in Quantum Computing, Theoretical Computer Science, or Physics
- 5+ years experience with quantum circuit design and error correction
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, Qiskit, and quantum simulation frameworks
- Strong background in linear algebra, probability theory, and complexity theory
- Experience leading cross-functional research teams
- Track record of securing government or corporate research grants