Job Description
Join Nexus Quantum Labs at the forefront of technological evolution. We're seeking visionary Quantum AI Researchers to pioneer breakthroughs that will redefine computing by 2026. Our interdisciplinary team combines quantum mechanics, artificial intelligence, and next-gen hardware to solve humanity's most complex challenges. You'll collaborate with Nobel laureates and industry pioneers in a state-of-the-art facility overlooking the San Francisco Bay.
We offer unparalleled resources including exclusive access to quantum cloud platforms, dedicated research budgets, and flexible work arrangements designed for peak innovation. This role is perfect for those who thrive at the intersection of theoretical physics and practical AI applications.
Responsibilities
- Design and implement novel quantum algorithms for machine learning applications
- Develop hybrid quantum-classical neural network architectures
- Lead research initiatives in quantum error correction and fault tolerance
- Collaborate with hardware teams to optimize quantum-AI integration
- Publish findings in top-tier journals and present at international conferences
- Secure external funding through NSF and DARPA grant proposals
- Mentor PhD researchers and cross-functional engineering teams
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Published research in quantum machine learning or quantum information theory
- Experience with superconducting or photonic quantum systems
- Track record of securing research funding or patents
- Excellent problem-solving skills and scientific curiosity