Job Description
Join NeuroSync Systems at the forefront of 2026's technological revolution! We're seeking a pioneering Quantum AI Research Scientist to develop next-generation neural-quantum hybrid systems. As a key architect of our 2026 roadmap, you'll collaborate with Nobel laureates and industry disruptors to redefine human-machine symbiosis. Our Austin R&D hub offers cutting-edge resources in quantum computing, neuromorphic engineering, and bio-integrated AI. This role combines visionary research with real-world deployment opportunities in healthcare, climate modeling, and autonomous systems.
Responsibilities
- Design and implement quantum neural network architectures for 2026-era applications
- Lead cross-functional R&D teams in developing bio-integrated AI prototypes
- Publish breakthrough research in Nature/Science journals with industry impact
- Develop ethical frameworks for quantum-AI decision-making systems
- Partner with government agencies on national quantum security initiatives
- Drive commercialization of quantum-AI solutions in healthcare and climate sectors
- Mentor postdoctoral researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, AI, or Computational Neuroscience (postdoc preferred)
- 5+ years experience in quantum algorithm development with IBM/Google/IONQ platforms
- Published research in quantum machine learning or neuromorphic computing
- Expertise in tensor networks and quantum error correction protocols
- Proficiency in Python/C++ with quantum frameworks (Qiskit, Cirq, PennyLane)
- Experience with neuromorphic hardware (Intel Loihi, IBM TrueNorth)
- Strong background in ethical AI frameworks and responsible innovation