Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's greatest challenges. As a Quantum AI Research Scientist, you'll work in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and industry disruptors. We offer competitive equity packages, flexible work arrangements, and unparalleled resources to accelerate your groundbreaking research. Your work will directly impact fields from drug discovery to climate modeling, shaping the future of computational science.
Responsibilities
- Design and implement novel quantum algorithms for AI optimization problems
- Lead cross-functional teams in developing hybrid quantum-classical machine learning models
- Publish high-impact research in peer-reviewed journals and industry conferences
- Collaborate with hardware teams to prototype quantum computing architectures
- Secure $2M+ in annual research grants from NSF, DARPA, and private investors
- Mentor PhD candidates and postdoctoral researchers in quantum AI methodologies
- Translate theoretical breakthroughs into commercial applications for enterprise clients
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Publication record in top-tier journals (Nature, Science, or IEEE) on quantum machine learning
- Expertise in linear algebra, quantum information theory, and deep learning architectures
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing environments
- Demonstrated ability to secure federal research funding
- Experience with quantum error correction and fault-tolerant systems