Job Description
Join NeuroQuantum Labs at the forefront of 2026's AI revolution. We're seeking visionary researchers to pioneer quantum-enhanced machine learning models that will redefine technological boundaries. Our Austin-based team operates at the intersection of neuroscience and quantum computing, developing solutions for healthcare, climate modeling, and autonomous systems. This role offers unparalleled access to cutting-edge infrastructure and collaborative partnerships with MIT and Stanford research labs.
Responsibilities
- Design and implement quantum neural networks for real-world applications
- Lead cross-functional teams in developing ethical AI frameworks
- Publish breakthrough research in top-tier journals and conferences
- Collaborate with hardware engineers to optimize quantum-classical hybrid systems
- Secure $1M+ in government and private research grants
- Mentor PhD candidates in emerging AI paradigms
- Develop patentable algorithms for next-generation AI capabilities
Qualifications
- PhD in Computer Science, Physics, or related field (2018-2023)
- 3+ years of experience in quantum machine learning or neuromorphic computing
- Publication record in Nature/Science or top-tier ML conferences
- Expertise in Python, TensorFlow Quantum, and Cirq frameworks
- Strong background in ethical AI governance frameworks
- Demonstrated success in securing research funding
- Experience with superconducting quantum processors
- Portfolio of open-source contributions to quantum AI libraries