Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that bridge quantum computing and machine learning, creating breakthrough applications in medicine, climate modeling, and autonomous systems. Our state-of-the-art facility in San Francisco's Tech District offers unparalleled resources, including quantum processors and GPU clusters. Collaborate with Nobel laureates and disrupt traditional paradigms in an environment where your ideas shape the future.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Publish groundbreaking research in top-tier journals and conferences
- Develop scalable quantum neural networks for real-world deployment
- Secure federal and private research funding for frontier projects
- Mentor junior researchers in quantum computing principles
- Collaborate with industry partners to commercialize research innovations
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- Expertise in quantum algorithms and tensor network simulations
- Proficiency with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Published research in quantum machine learning or AI optimization
- Strong background in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with quantum hardware interfaces (IBM Q, Rigetti, or IonQ)
- Demonstrated ability to lead complex R&D projects to completion