Job Description
Join Nexus Labs at the forefront of quantum-AI fusion research. We're pioneering breakthroughs that will redefine computing by 2026, tackling challenges in quantum machine learning and next-generation cryptography. Our interdisciplinary team of world-class researchers collaborates in state-of-the-art labs, pushing the boundaries of what's possible in quantum algorithms and neural network optimization. This role offers unparalleled opportunities to publish in top-tier journals and contribute to technologies that will shape humanity's digital future.
We provide competitive equity packages, flexible work arrangements, and comprehensive benefits including unlimited PTO and wellness stipends. Our mission: accelerating the transition to quantum-powered intelligence while maintaining ethical safeguards.
Responsibilities
- Design and implement novel quantum machine learning algorithms for 2026-era applications
- Lead research initiatives in quantum-resistant cryptography and post-quantum security
- Collaborate with hardware teams to optimize quantum-neural network hybrid systems
- Publish peer-reviewed research in leading scientific journals and conferences
- Develop computational frameworks for simulating quantum-AI interactions at scale
- Mentor junior researchers and cross-functional engineering teams
- Secure external funding through NSF and DARPA grant applications
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years of experience in quantum algorithm development or quantum software
- Proficiency in quantum programming languages (Qiskit, Cirq, or PennyLane)
- Published research in quantum machine learning or quantum information theory
- Strong background in linear algebra, probability theory, and statistical modeling
- Experience with high-performance computing and distributed quantum simulators
- Demonstrated ability to translate theoretical concepts into practical implementations