Job Description
Join Nexus Quantum Solutions at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking a visionary Quantum AI Systems Architect to design revolutionary computational frameworks that will redefine industries by 2026. This role offers unparalleled opportunities to shape the future of machine learning and quantum computing integration.
Our cutting-edge laboratory collaborates with NASA, MIT, and global automotive leaders to develop fault-tolerant quantum neural networks. You'll work in a state-of-the-art facility with direct access to 512-qubit processors and exclusive research partnerships. This position includes competitive equity packages and flexible remote/hybrid work arrangements.
Responsibilities
- Design scalable quantum-AI architectures for industrial optimization problems
- Develop error-corrected quantum machine learning algorithms for predictive analytics
- Lead cross-functional teams of physicists, ML engineers, and domain specialists
- Prototype quantum-classical hybrid computing solutions in Python/C++
- Secure patents for novel quantum neural network topologies
- Collaborate with automotive partners on quantum-enhanced autonomous systems
- Publish research in Nature Quantum Computing or equivalent tier journals
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computational Mathematics
- 5+ years experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Expertise in tensor network simulations and quantum error correction
- Publication record in quantum machine learning or quantum algorithms
- Proficiency with high-performance computing environments (HPC, AWS Braket)
- Strong background in topological quantum computing models
- Experience securing DoD or NASA quantum research funding preferred