Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms for autonomous systems, climate modeling, and molecular simulations. Our state-of-the-art lab in San Francisco offers unparalleled resources to push beyond classical computing limits. This role provides equity, unlimited learning stipends, and the opportunity to shape humanity's technological future.
Responsibilities
- Develop quantum neural networks for machine learning acceleration
- Design hybrid quantum-classical algorithms for complex optimization problems
- Collaborate with physicists to implement quantum error correction protocols
- Lead open-source contributions to quantum AI frameworks (Qiskit, Cirq)
- Publish breakthrough research in Nature/Science journals
- Mentor cross-functional teams on quantum computing principles
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience)
- Proficiency in quantum programming languages (Q#, Quil, or Qiskit)
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with quantum hardware (IBM Quantum, Rigetti, or IonQ)
- Strong background in linear algebra, quantum mechanics, and information theory