Job Description
Join the forefront of technological evolution at Nexus Quantum Technologies as we pioneer the convergence of quantum computing and artificial intelligence. We seek a visionary Quantum Machine Learning Architect to design next-gen AI systems that leverage quantum advantage. This role offers unparalleled opportunities to shape the computational landscape of 2026 and beyond, working with cutting-edge hardware and collaborating with Nobel laureates in our state-of-the-art San Francisco lab.
Responsibilities
- Design hybrid quantum-classical ML frameworks for enterprise-scale optimization problems
- Develop error-corrected quantum neural networks using Qiskit and PennyLane
- Architect fault-tolerant quantum algorithms for real-time data processing
- Lead cross-functional teams in translating quantum theoretical models into production-ready systems
- Establish industry benchmarks for quantum AI performance metrics
- Pioneer novel approaches to quantum data compression and feature extraction
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics (or equivalent industry breakthroughs)
- Expertise in quantum circuit optimization and tensor network simulations
- Proven experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Publication record in Nature/Science journals or top-tier ML conferences
- Mastery of Python, C++, and quantum assembly languages
- Deep understanding of quantum error correction codes (surface, LDPC)