Job Description
Join NeuroTech Innovations at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Researcher, you'll architect next-generation neural networks that leverage quantum entanglement for unprecedented computational power. Our Austin R&D hub offers state-of-the-art labs and a collaborative environment where your innovations will directly impact fields from drug discovery to climate modeling.
We value paradigm-shifting thinking and offer competitive benefits including equity in our quantum IP portfolio, flexible research hours, and access to our annual Quantum Innovation Summit in Switzerland. This role requires passion for pushing beyond classical computing boundaries while maintaining ethical AI deployment standards.
Responsibilities
- Design and implement quantum neural network architectures using 128-qubit processors
- Develop hybrid quantum-classical algorithms for optimization problems
- Lead cross-functional teams in translating theoretical models into deployable quantum AI systems
- Collaborate with neuroscientists to model quantum effects in biological neural networks
- Secure patents for novel quantum machine learning methodologies
- Maintain compliance with emerging quantum security protocols (NIST 2026 standards)
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Proficiency in quantum programming languages (Q#, Qiskit, or Cirq)
- Published research in quantum machine learning or quantum information theory
- Experience with quantum error correction and fault-tolerant systems
- Demonstrated ability to translate complex mathematical concepts into practical implementations
- Familiarity with ethical AI governance frameworks (IEEE 7000-2025)