Job Description
Join Nexus Quantum Labs at the forefront of technological evolution. We're pioneering quantum-AI integration that will redefine 2026's digital landscape. As our Research Lead, you'll architect breakthrough solutions in quantum machine learning and neural network optimization. Collaborate with Nobel laureates and disrupt traditional computing paradigms in our state-of-the-art facility overlooking the Bay. We offer unparalleled resources, flexible work arrangements, and equity in a company poised to dominate the post-silicon era.
Why Nexus Quantum Labs? We're not just building for tomorrow—we're inventing it. Our cross-disciplinary teams work at the intersection of quantum physics, advanced AI, and human-computer interaction. With 40% R&D budget growth projected for 2026, this role offers unmatched influence in shaping humanity's technological future.
Responsibilities
- Lead quantum-AI algorithm development for next-gen neural processing units
- Design fault-tolerant quantum computing architectures for 2026-scale data environments
- Collaborate with hardware teams to co-design quantum-AI hybrid systems
- Publish breakthrough research in Nature/Science journals with 5+ annual publications
- Mentor PhD-level researchers in quantum machine learning methodologies
- Secure $2M+ in annual research grants from DARPA and NSF partnerships
- Define industry standards for quantum-AI security protocols
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics with 5+ years research experience
- Published 10+ peer-reviewed papers on quantum algorithms or neural networks
- Expertise in Qiskit, Cirq, or quantum circuit optimization frameworks
- Proven track record of securing $1M+ in research funding
- Proficiency in Python, TensorFlow, and low-level quantum control systems
- Experience with superconducting qubit manipulation or photonic quantum processors
- Strong background in error correction for quantum-AI hybrid systems