Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computing paradigms. As a Quantum AI Systems Architect, you'll design next-generation neural networks operating on quantum substrates, bridging theoretical physics with practical machine learning applications. Our cross-disciplinary team of Nobel laureates, quantum engineers, and AI researchers offers unparalleled resources to transform theoretical breakthroughs into real-world solutions.
Located in San Francisco's vibrant Mission Bay district, our state-of-the-art facility features a 128-qubit quantum processor and exascale computing clusters. We offer competitive equity packages, flexible work arrangements, and dedicated R&D time for your breakthrough projects.
Responsibilities
- Design and implement quantum-AI hybrid neural networks for optimization problems
- Develop error-correction protocols for quantum machine learning algorithms
- Architect scalable quantum-classical computing interfaces
- Lead cross-functional teams in deploying quantum-enhanced AI solutions
- Research novel quantum algorithms for 2026-era computing challenges
- Collaborate with hardware teams to optimize quantum system performance
- Publish findings in top-tier journals and industry conferences
- Secure patents for proprietary quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming (Q#, Qiskit, or Cirq)
- Expertise in machine learning frameworks (PyTorch/TensorFlow)
- Published research in quantum machine learning or quantum information
- Proficiency with high-performance computing architectures
- Strong background in linear algebra, topology, and quantum mechanics
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Track record of translating theoretical concepts into working prototypes