Job Description
Join Nexus Labs at the forefront of quantum-AI convergence. We're pioneering breakthroughs in 2026's next-generation computational paradigms, developing hybrid quantum neural networks that will redefine machine learning. As a key member of our elite research team, you'll architect algorithms leveraging quantum supremacy to solve previously intractable problems in cryptography, climate modeling, and drug discovery.
Our state-of-the-art lab features 128-qubit processors and exascale computing resources. You'll collaborate with Nobel laureates and publish in Nature/Science journals while contributing to open-source quantum frameworks. This role offers unparalleled opportunities to shape humanity's technological trajectory.
Responsibilities
- Design and implement quantum neural network architectures for 2026-era AI applications
- Develop hybrid quantum-classical optimization algorithms for industrial-scale problems
- Lead cross-functional teams in prototyping quantum-AI solutions for Fortune 500 clients
- Author peer-reviewed publications and open-source contributions to quantum machine learning
- Secure $5M+ in research grants through NSF and DARPA partnerships
- Mentor PhD candidates in quantum computing principles
- Drive ethical frameworks for quantum-AI deployment
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or equivalent with 3+ years research experience
- Published work in Nature/Science on quantum algorithms or machine learning
- Expertise in Qiskit, Cirq, or quantum circuit optimization frameworks
- Proficiency in Python with deep learning libraries (PyTorch/TensorFlow)
- Experience with quantum annealing systems (D-Wave, Rigetti)
- Demonstrated ability to secure federal research funding
- Strong background in information theory and computational complexity
- Published patents in quantum or AI domains preferred