Job Description
Join NeuroTech Labs at the forefront of 2026's quantum-AI convergence revolution. We're pioneering next-generation neural interfaces that will redefine human-machine symbiosis. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms leveraging quantum computing principles to solve previously intractable problems in cognitive computing and predictive analytics.
Our Austin headquarters features state-of-the-art quantum annealing labs and neuro-simulation suites. You'll collaborate with Nobel laureates and Turing Award winners in an environment where 10x innovation isn't just encouraged—it's expected.
Responsibilities
- Design and implement quantum machine learning models for real-time neural data processing
- Lead cross-functional R&D teams to prototype 2026-era cognitive computing systems
- Develop novel error-correction protocols for quantum neural networks
- Secure $5M+ in DARPA/NASA grants for applied quantum-AI research
- Publish in Nature/Science journals on quantum-AI breakthroughs
- Architect patent-pending neuro-quantum interfaces for medical applications
- Mentor PhD candidates in quantum algorithm development
Qualifications
- PhD in Quantum Computing or Theoretical Computer Science (postdocs preferred)
- 5+ years experience with quantum machine learning frameworks (Qiskit, Cirq)
- Published research in quantum error correction or topological quantum computing
- Proficiency in tensor networks and quantum circuit optimization
- Experience with neuromorphic hardware (Intel Loihi, IBM TrueNorth)
- Track record of securing federal research grants
- Deep understanding of quantum decoherence mitigation strategies