Job Description
Join Nexus Labs at the forefront of quantum-AI convergence as we pioneer the computational landscape of 2026. We're seeking visionary researchers to develop hybrid quantum-neural systems that will redefine machine learning paradigms. Our state-of-the-art facility in downtown San Francisco offers unparalleled resources including 512-qubit quantum processors and exascale AI clusters. This role represents a rare opportunity to shape the next decade of technological advancement while collaborating with Nobel laureates and Turing Award winners.
Responsibilities
- Design and implement quantum algorithms for machine learning acceleration
- Develop hybrid quantum-classical neural network architectures
- Lead cross-functional teams in prototyping 2026-era AI systems
- Secure $10M+ in government/private research grants
- Publish breakthrough findings in Nature/Science journals
- Advise Fortune 500 clients on quantum-AI integration strategies
Qualifications
- PhD in Quantum Computing, AI, or Physics from R1 institution
- 3+ years experience with quantum programming (Qiskit/Cirq)
- Published work in top-tier quantum/AI conferences (NeurIPS, QIP)
- Expertise in tensor networks and quantum error correction
- Proficiency in high-performance computing (CUDA/HPC)
- Strong track record of securing research funding