Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution as we pioneer the intersection of quantum computing and artificial intelligence. We're seeking visionary researchers to develop next-gen algorithms that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources, collaborative labs, and a culture where innovation thrives. This role offers competitive equity, flexible work arrangements, and the opportunity to shape the future of quantum AI.
Responsibilities
- Design and implement quantum machine learning algorithms for NLP and computer vision applications
- Lead experimental validation of quantum AI prototypes on 100+ qubit systems
- Collaborate with hardware engineers to optimize quantum-classical hybrid architectures
- Publish breakthrough research in top-tier journals and industry conferences
- Mentor junior researchers and cross-functional AI/quantum teams
- Secure federal and private research funding for quantum AI initiatives
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years postdoc experience
- Published research in quantum machine learning or quantum algorithms
- Proficiency with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Expertise in Python/C++ with high-performance computing optimization
- Experience with quantum hardware interfaces (IBM Q, Rigetti, or IonQ)
- Demonstrated ability to secure competitive research grants
- Strong background in tensor networks or quantum error correction