Job Description
Join Nexa Labs at the forefront of technological evolution as we pioneer quantum-AI fusion systems for 2026. We seek a visionary architect to design next-generation neural networks that transcend classical computing boundaries. You'll lead cross-disciplinary teams in developing hybrid quantum neural interfaces, translating theoretical models into scalable production systems that will redefine industry capabilities.
This role offers unparalleled opportunity to shape humanity's technological trajectory while working alongside Nobel laureates and Turing Award recipients in our state-of-the-art research campus.
Responsibilities
- Architect quantum-AI fusion systems using Qiskit and TensorFlow Quantum frameworks
- Design error-corrected quantum neural networks for real-time data processing
- Develop hybrid quantum-classical pipelines for predictive modeling at petabyte scale
- Lead research teams in quantum machine learning optimization techniques
- Collaborate with hardware teams to design quantum-cooled computing substrates
- Implement security protocols for quantum-resistant encryption systems
- Author white papers for IEEE and Nature Quantum journals
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics
- 5+ years experience in quantum algorithm design and implementation
- Expertise in Python, Q#, and low-level quantum assembly languages
- Published research in quantum machine learning or topological quantum computing
- Proficiency with D-Wave, IBM Quantum, and Rigetti systems
- Certification in AWS Braket or Azure Quantum services
- Demonstrated experience leading complex R&D projects with $1M+ budgets