Job Description
Join Nexus Labs at the forefront of quantum-AI convergence to shape 2026's technological landscape. We're seeking visionary researchers to pioneer breakthroughs in quantum machine learning algorithms and hybrid quantum-classical systems. Work in our state-of-the-art lab with direct access to quantum computing hardware and collaborate with Nobel laureates. This role offers unparalleled opportunities to publish in Nature/Science and commercialize patents.
Responsibilities
- Design and implement novel quantum neural network architectures for 2026-era applications
- Lead cross-functional teams in developing quantum-AI hybrid solutions for finance and drug discovery
- Optimize quantum algorithms for current NISQ devices while preparing for fault-tolerant systems
- Translate theoretical breakthroughs into deployable prototypes with industry partners
- Pioneer ethical frameworks for quantum-AI decision-making systems
- Secure $2M+ in research grants and publish 3+ top-tier papers annually
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics with 3+ years industry experience
- Proficiency in quantum programming frameworks (Qiskit, Cirq) and classical ML (PyTorch, TensorFlow)
- Published research in quantum machine learning or quantum algorithms
- Experience with quantum hardware providers (IBM Quantum, Rigetti, IonQ)
- Strong background in computational complexity theory and linear algebra
- Track record of translating academic research to commercial applications
- US citizenship or permanent residency required for government collaboration