Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-gen algorithms for autonomous systems, climate modeling, and drug discovery. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world applications. Collaborate with Nobel laureates and industry disruptors in an environment where curiosity fuels innovation.
We offer comprehensive benefits including relocation assistance, flexible work arrangements, and dedicated R&D time. Shape the future with us.
Responsibilities
- Design and implement quantum machine learning models for complex optimization problems
- Lead cross-functional teams in developing AI-powered autonomous systems
- Conduct cutting-edge research in quantum computing algorithms and error correction
- Develop scalable solutions for climate modeling and sustainable energy systems
- Author peer-reviewed publications and present at international conferences
- Mentor junior researchers and foster collaborative innovation
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (MS with exceptional experience)
- 3+ years in quantum algorithm development or AI research
- Expertise in Python, TensorFlow/PyTorch, and quantum frameworks (Qiskit, Cirq)
- Published work in top-tier journals (Nature, Science, etc.)
- Strong background in linear algebra, probability, and computational complexity
- Experience with high-performance computing environments