Job Description
Join NexusLabs at the forefront of technological evolution as we pioneer 2026's quantum-AI convergence. We seek a visionary Research Lead to architect next-gen solutions that redefine computational boundaries. This role demands strategic innovation and hands-on expertise in quantum machine learning, with opportunities to publish groundbreaking research and shape industry standards.
Responsibilities
- Design and implement quantum-AI hybrid systems for enterprise-scale applications
- Lead cross-disciplinary teams in developing 2026-era quantum neural networks
- Secure $5M+ in R&D funding through NSF and DoD partnerships
- Author whitepapers on quantum-AI ethics and scalability challenges
- Drive patent development for quantum-resistant encryption protocols
- Mentor PhD researchers in quantum machine learning methodologies
- Collaborate with MIT and Stanford on quantum-computing roadmaps
Qualifications
- PhD in Quantum Computing or AI with 8+ years industry experience
- Published research in Nature/Science on quantum algorithms
- Expertise in Qiskit, Cirq, and quantum error correction frameworks
- Proven track record of scaling quantum systems to 1000+ qubits
- Certified in quantum security architecture (QSA) protocols
- Experience with federal grant administration (SBIR/STTR)
- Deep understanding of 2026 NIST quantum encryption standards