Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek a visionary Quantum AI Researcher to develop next-generation algorithms that will redefine computational boundaries. Our interdisciplinary team operates at the intersection of quantum computing, artificial intelligence, and predictive modeling, creating breakthrough applications for healthcare, climate science, and autonomous systems. This role offers unparalleled opportunities to shape the future of human-machine collaboration.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Lead cross-functional R&D projects in quantum-resistant cryptography and neural network optimization
- Collaborate with MIT and Stanford researchers on experimental quantum-AI hybrid systems
- Develop predictive models for complex global systems using quantum-enhanced simulations
- Secure $5M+ in DARPA and NSF grants for 2026-focused initiatives
- Mentor PhD candidates in quantum-AI convergence methodologies
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent research experience)
- Expertise in quantum algorithms and quantum machine learning frameworks
- Published research in Nature/Science on quantum-AI integration (2020-2023)
- Proficiency in Qiskit, Cirq, and PyTorch Quantum
- Experience with superconducting qubit systems and quantum error correction
- Track record of translating theoretical quantum models into practical implementations
- Security clearance eligibility for DoD-funded projects