Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-gen algorithms to solve previously impossible challenges in materials science, cryptography, and autonomous systems. Our state-of-the-art facility in San Francisco offers unparalleled resources including quantum annealers, photonic processors, and a collaborative team of Nobel laureates. We offer competitive equity, flexible hybrid work, and continuous learning stipends to accelerate your impact.
Responsibilities
- Design and implement quantum machine learning models for large-scale optimization problems
- Develop novel quantum algorithms leveraging AI acceleration techniques
- Collaborate with hardware teams to optimize quantum-AI hybrid systems
- Lead research publications in top-tier journals (Nature, Science, etc.)
- Mentor junior researchers in quantum computing principles
- Secure federal and private research grants ($5M+ portfolio)
- Partner with industry leaders to deploy quantum solutions
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years of hands-on quantum algorithm development
- Expertise in Python/C++ with quantum frameworks (Qiskit, Cirq)
- Published research in quantum machine learning
- Experience with NISQ-era hardware constraints
- Strong background in linear algebra and quantum information theory
- Proven grant-writing success (>$2M secured)
- Clearance for government research projects preferred