Job Description
Join Nexus Quantum Dynamics at the forefront of 2026's quantum-AI revolution. We're pioneering the next generation of hybrid quantum-neural systems that will redefine computational boundaries. As a key member of our elite research team, you'll architect breakthrough algorithms for quantum machine learning, develop fault-tolerant quantum processors, and collaborate with Nobel laureates to solve humanity's most complex challenges. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture where your audacious ideas become reality.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for optimization problems
- Lead prototyping of next-generation quantum processors with 1000+ qubits
- Develop error-correction frameworks for fault-tolerant quantum computing
- Collaborate with neuroscientists to model quantum consciousness systems
- Publish research in Nature/Science and present at global quantum summits
- Mentor PhD researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computational Science
- 3+ years experience with quantum circuit design (Qiskit/Cirq)
- Expertise in tensor networks and quantum machine learning frameworks
- Published research in quantum algorithms or quantum information theory
- Proficiency in Python/C++ with HPC optimization skills
- Deep understanding of quantum error correction protocols
- Experience with quantum hardware platforms (Rigetti/IBM Quantum)