Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum-AI fusion systems for 2026. Our interdisciplinary team is redefining computational boundaries, and we seek visionary researchers to architect the next generation of autonomous quantum neural networks. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility overlooking the Bay, where breakthroughs in quantum supremacy and generative AI converge. This role offers unparalleled opportunities to publish in top-tier journals and shape humanity's technological trajectory.
Responsibilities
- Design and implement quantum algorithms for machine learning acceleration
- Lead cross-functional teams in developing fault-tolerant quantum computing architectures
- Develop hybrid quantum-classical neural network frameworks
- Conduct pioneering research in quantum-entangled data processing
- Secure intellectual property through strategic patent development
- Mentor junior researchers and publish findings in Nature/Science
- Partner with government agencies on quantum security protocols
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on quantum computing experience with error correction
- Expertise in quantum machine learning frameworks (Qiskit, Cirq)
- Published research in quantum information theory or AI
- Proficiency in Python, TensorFlow, and quantum circuit design
- Experience with superconducting qubit systems or ion traps
- Strong background in distributed quantum networks
- Ability to secure TS/SCI clearance preferred