Job Description
Join NeuroTech Innovations at the forefront of 2026's technological revolution. We're seeking a Quantum AI Research Engineer to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. This role offers unparalleled opportunities to shape the future of human-computer interaction while working in Austin's vibrant tech ecosystem. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art R&D facility, pushing the boundaries of what's possible in computational intelligence.
Responsibilities
- Design and implement quantum algorithms for next-generation AI systems
- Lead cross-functional research teams in developing hybrid quantum-classical machine learning models
- Develop proprietary neural interfaces for quantum-entangled data processing
- Contribute to NeuroTech's patent portfolio with 3+ annual innovations
- Present breakthrough findings at international conferences like IEEE Quantum Week
- Collaborate with DARPA and NASA on classified quantum communication projects
- Mentor PhD candidates in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
- Proficiency in Qiskit, Cirq, and quantum circuit optimization
- Published research in Nature/Science on quantum machine learning
- Expertise in tensor networks and quantum error correction protocols
- 5+ years experience with high-performance quantum computing hardware
- Security clearance for government collaborative projects
- Fluency in Python, C++, and quantum assembly languages