Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer breakthroughs in quantum-AI convergence. Our multidisciplinary team is redefining computational boundaries for 2026 and beyond. This role offers unparalleled opportunity to shape next-generation systems while working in our state-of-the-art San Francisco facility with competitive benefits and equity packages.
Responsibilities
- Lead quantum algorithm development for AI optimization
- Design scalable quantum neural network architectures
- Collaborate with cross-functional teams on 2026 tech roadmap
- Publish research in top-tier journals/conferences
- Secure $5M+ in research grants annually
- Mentor PhD candidates in quantum machine learning
- Prototype quantum-classical hybrid systems
Qualifications
- PhD in Quantum Computing or AI with 5+ years industry experience
- Published research in Nature/Science journals
- Expertise in Qiskit, Cirq, or quantum circuit optimization
- Proven track record in securing NSF/DARPA grants
- Strong Python/C++ with quantum libraries proficiency
- Experience with quantum error correction protocols
- Background in topological quantum computing
- US citizenship required for government collaborations