Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum-AI convergence for 2026's most critical challenges. We seek visionary researchers to develop next-gen algorithms that bridge quantum computing and machine learning. Our mission: solve climate modeling, drug discovery, and encryption breakthroughs that will shape humanity's future. Work in our state-of-the-art facility with access to D-Wave quantum processors and NVIDIA's latest AI supercomputers. Enjoy unparalleled collaboration opportunities with Nobel laureates and startup equity in a culture that celebrates audacious innovation.
Responsibilities
- Design hybrid quantum-classical machine learning frameworks for complex system optimization
- Develop error-correction protocols for practical quantum computing applications
- Lead cross-functional teams in prototyping AI-quantum solutions for Fortune 500 partners
- Publish breakthrough research in top-tier journals (Nature, Science, IEEE)
- Secure $5M+ in DARPA/NSF grants for quantum-AI initiatives
- Mentor PhD candidates in quantum machine learning methodologies
- Translate theoretical models into production-ready systems with 99.99% reliability
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (or equivalent industry experience)
- Proven expertise in quantum algorithms (QAOA, VQE, quantum neural networks)
- Publication record in quantum-AI intersection research
- Proficiency in Python with quantum libraries (Qiskit, Cirq) and ML frameworks (PyTorch)
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to secure government research funding
- Strong background in linear algebra, quantum mechanics, and computational complexity
- Published 3+ papers in QIP or NeurIPS conferences