Job Description
Shape the future at Nexus Labs, where we're pioneering quantum-AI fusion technologies. We seek visionary Quantum AI Research Scientists to develop next-gen algorithms that bridge quantum computing and machine learning. Join our elite team in San Francisco's innovation hub, working with state-of-the-art hardware and collaborating with Nobel laureates. This role offers unparalleled opportunities to publish groundbreaking research and influence the 2026 technological landscape.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization problems
- Develop hybrid quantum-classical neural network architectures
- Lead research on quantum error correction for AI applications
- Collaborate with hardware teams to optimize quantum-AI integration
- Publish high-impact research in top-tier journals and conferences
- Secure external funding through NSF and DARPA proposals
- Mentor junior researchers in quantum computing fundamentals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years experience with quantum programming (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow)
- Strong mathematical background in linear algebra and probability
- Published work in quantum machine learning or related fields
- Experience with quantum hardware (IBM Q, Rigetti, or IonQ)
- Proven ability to secure research funding