Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Researcher, you'll architect next-gen systems that redefine computational boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into practical solutions.
We seek visionaries who thrive at the intersection of physics and machine learning. You'll collaborate with Nobel laureates and industry disruptors in an environment that values audacious thinking. This isn't just research—it's about building the computational paradigm of tomorrow.
Responsibilities
- Design and implement quantum algorithms for AI model optimization
- Develop hybrid quantum-classical neural architectures for 2026-scale applications
- Lead experimental validation of quantum advantage in machine learning tasks
- Author breakthrough research published in top-tier journals and conferences
- Collaborate with hardware teams to co-design quantum-AI integrated systems
- Secure $10M+ in government and industry research grants
- Mentor PhD researchers and quantum engineering interns
Qualifications
- PhD in Quantum Computing, Physics, or Machine Learning (or equivalent experience)
- Published research in quantum machine learning or quantum algorithms
- Proficiency in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and Python
- Strong background in quantum information theory and complexity classes
- Experience with high-performance computing and GPU acceleration
- Demonstrated ability to secure competitive research funding