Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum-AI hybrid systems that will redefine 2026's digital landscape. We're seeking visionary researchers to develop next-generation quantum algorithms for machine learning applications. Our state-of-the-art facility in San Francisco offers unparalleled resources including quantum simulators, GPU clusters, and a cross-disciplinary team of Nobel laureates and industry disruptors. This role includes competitive equity, flexible work arrangements, and access to our innovation incubator program.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Collaborate with AI teams to integrate quantum computing solutions into neural networks
- Lead experimental validation of quantum-AI hybrid systems on D-Wave and IBM Q processors
- Publish breakthrough research in peer-reviewed journals and present at international conferences
- Mentor junior researchers and drive quantum computing education initiatives
- Secure funding through NSF grants and industry partnerships
- Develop patentable quantum encryption protocols for post-quantum security
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on experience with quantum programming languages (Q#, Qiskit)
- Proven track record of publishing in quantum computing or AI research
- Expertise in quantum machine learning and tensor network simulations
- Familiarity with superconducting qubit architectures and error correction techniques
- Strong Python/C++ programming skills with quantum libraries
- Experience with high-performance computing clusters and GPU acceleration
- Demonstrated ability to secure research funding (preferred)