Job Description
Join Nexus Quantum Systems at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As our Quantum AI Research Lead, you'll architect next-generation algorithms that redefine computational boundaries. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art downtown San Francisco lab, where your work will directly shape the future of machine learning and cryptography.
Responsibilities
- Design and implement quantum machine learning frameworks for real-world applications
- Lead cross-functional teams in developing quantum-optimized neural networks
- Drive research on quantum-resistant encryption protocols for 2026's cybersecurity landscape
- Publish breakthrough research in top-tier journals and industry whitepapers
- Secure $2M+ annual R&D funding through NIH and DARPA partnerships
- Mentor PhD candidates in quantum-computing bootcamps
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (2019-2026)
- 5+ years experience with quantum algorithms (Qiskit, Cirq, or Q#)
- Published research in Nature/Science on quantum ML applications
- Expertise in tensor networks and quantum error correction
- Security clearance eligibility for government collaborations
- Proficiency in Python, TensorFlow, and quantum circuit optimization