Job Description
Join NeuroSync Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Quantum AI Researcher, you'll architect next-gen neural networks operating at quantum speed, transforming industries from healthcare to climate modeling. Our Austin campus features state-of-the-art quantum processors and a collaborative, future-focused culture where your breakthroughs will impact billions.
What you'll achieve:
- Develop hybrid quantum-classical algorithms for real-world applications
- Lead cross-functional teams in prototyping quantum neural networks
- Collaborate with Nobel laureates and industry disruptors
- Shape the ethical framework for quantum-AI integration
Responsibilities
- Design and implement quantum machine learning models for predictive analytics
- Optimize quantum circuits for AI training acceleration
- Research novel entanglement-based neural architectures
- Develop error-correction protocols for quantum-AI systems
- Lead open-source contributions to quantum-AI frameworks
- Present findings at IEEE Quantum Computing conferences
- Mentor junior researchers in quantum algorithm development
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent experience)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum machine learning or quantum neural networks
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with D-Wave, IBM Quantum, or similar quantum hardware
- Strong background in theoretical physics and complex systems theory
- Track record of translating research into commercial applications