Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI revolution. We're pioneering next-gen neural interfaces that merge quantum computing with machine learning to solve humanity's most complex challenges. Our interdisciplinary team of physicists and AI engineers is redefining computational boundaries. If you thrive at the intersection of theoretical physics and applied AI, this is your opportunity to shape tomorrow's technological landscape.
We offer competitive equity packages, flexible work arrangements, and access to our state-of-the-art quantum research facilities in the heart of San Francisco's innovation district.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational models
- Develop hybrid quantum-classical neural network architectures
- Collaborate with physicists to optimize quantum hardware integration
- Lead research initiatives in quantum-resistant cryptography
- Publish breakthrough findings in top-tier journals and conferences
- Mentor junior researchers in emerging quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum algorithms and quantum error correction
- Proficiency in Python, TensorFlow/PyTorch, and quantum programming frameworks (Qiskit/Cirq)
- Published research in quantum machine learning or quantum information theory
- Experience with superconducting quantum processors or ion-trap systems
- Strong background in deep learning and neural network optimization
- Ability to translate complex theoretical concepts into practical implementations