Job Description
Join Nexus Quantum Technologies at the forefront of 2026's quantum-AI revolution. We're pioneering hybrid quantum-neural systems that redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-gen algorithms for drug discovery, climate modeling, and materials science. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world solutions.
Responsibilities
- Design quantum neural networks for complex optimization problems
- Develop error-corrected quantum algorithms for AI acceleration
- Collaborate with physicists to implement quantum-classical hybrid systems
- Lead research on quantum machine learning models
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, or AI with 3+ years research experience
- Expertise in quantum algorithms (Shor's, Grover's, VQE)
- Proficiency in Qiskit, Cirq, or PennyLane frameworks
- Strong background in machine learning frameworks (PyTorch/TensorFlow)
- Published research in quantum computing or quantum machine learning
- Experience with superconducting qubit systems or ion traps
- Ability to translate theoretical concepts into experimental protocols