Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as a Quantum AI Research Engineer. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. This role offers unparalleled opportunity to shape the future of computational science while working in our state-of-the-art San Francisco headquarters.
As part of our elite research division, you'll collaborate with Nobel laureates and industry disruptors to develop breakthrough quantum algorithms that will redefine machine learning capabilities. We offer competitive compensation, unlimited PTO, comprehensive benefits, and a stock option plan designed to make you an equity owner in our mission.
Responsibilities
- Design and implement novel quantum algorithms for AI acceleration
- Lead cross-functional R&D projects integrating quantum computing with neural networks
- Develop hybrid quantum-classical machine learning frameworks
- Publish breakthrough research in top-tier scientific journals
- Collaborate with hardware teams to optimize quantum system performance
- Mentor junior researchers in quantum machine learning methodologies
- Secure external funding through NSF and DARPA grant proposals
Qualifications
- PhD in Quantum Computing, Computer Science, or related field (MS with exceptional experience)
- 5+ years of experience in quantum algorithm development
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum machine learning or quantum information theory
- Expertise in Python/C++ with deep learning frameworks (TensorFlow/PyTorch)
- Strong background in quantum error correction techniques
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Demonstrated ability to lead technical research initiatives