Job Description
Join Nexus Quantum Labs at the frontier of computational reality. We're pioneering quantum-AI fusion systems that will redefine 2026's technological landscape. As a Quantum AI Research Scientist, you'll architect next-gen algorithms merging quantum supremacy with machine learning breakthroughs. Our Austin R&D hub offers unparalleled resources for transforming theoretical models into scalable solutions.
This role partners with MIT, NASA, and global quantum networks to develop error-corrected neural networks and autonomous quantum optimization platforms. You'll lead cross-disciplinary teams solving climate modeling, drug discovery, and encryption challenges at exascale performance.
Responsibilities
- Design quantum machine learning architectures for 2026-era computational challenges
- Develop error-correction protocols for hybrid quantum-AI systems
- Lead experimental validation of quantum neural networks on D-Wave systems
- Collaborate with MIT/Caltech on quantum-secure AI frameworks
- Author patents for quantum-AI optimization algorithms
- Mentor PhD researchers in quantum computing fundamentals
- Present breakthroughs at IEEE Quantum Week and NeurIPS
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years hands-on experience with Qiskit/PennyLane frameworks
- Published research in Nature/Science quantum-AI topics
- Proficiency in quantum circuit optimization and tensor networks
- Experience with superconducting qubit platforms (IBM/Rigetti)
- Expertise in Python/C++ with quantum libraries
- Clearance for NASA/DoD quantum research projects