Job Description
Join Nexus Quantum Labs at the forefront of technological evolution in 2026. We're seeking visionary AI Research Scientists to pioneer quantum machine learning solutions that will redefine computational boundaries. Our cutting-edge lab in San Francisco offers unparalleled resources to develop breakthrough algorithms for quantum-optimized neural networks and next-gen AI systems. You'll collaborate with Nobel laureates and industry disruptors in an environment where innovation isn't just encouraged—it's the standard.
As a key architect of our 2026 quantum AI roadmap, you'll shape how humanity solves previously unsolvable problems in drug discovery, climate modeling, and materials science. We offer competitive equity packages, flexible work arrangements, and access to quantum hardware through our industry partnerships. If you're driven to solve humanity's grand challenges through quantum-AI convergence, this is your moment.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Lead research initiatives in quantum neural networks and hybrid quantum-classical systems
- Develop novel optimization techniques for quantum-enhanced deep learning frameworks
- Collaborate with quantum hardware engineers to co-design next-generation AI processors
- Publish breakthrough research in Nature/Science journals and top-tier AI conferences
- Mentor interdisciplinary teams of quantum physicists and AI specialists
- Secure $10M+ in government and industry research grants for quantum-AI initiatives
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics (or equivalent experience)
- 3+ years of hands-on quantum algorithm development (Qiskit, Cirq, or Q# proficiency)
- Published research in quantum machine learning or quantum AI at NeurIPS/ICML/QIP
- Expertise in Python, TensorFlow/PyTorch, and quantum circuit optimization
- Deep understanding of quantum error correction and fault-tolerant computing
- Experience with high-performance computing clusters and quantum simulators
- Demonstrated ability to translate theoretical quantum concepts into practical AI applications