Job Description
Join NeuraCore Systems at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. This role is pivotal in shaping our 2026 roadmap for autonomous systems and cognitive computing. You'll collaborate with Nobel laureates and industry disruptors to develop breakthrough algorithms that will redefine human-machine interaction. Our Austin campus features state-of-the-art quantum labs and AI neural network clusters, providing an unparalleled environment for innovation. We offer comprehensive benefits including equity, wellness stipends, and sabbatical programs for continued learning.
Responsibilities
- Design and implement quantum-resistant AI algorithms for next-gen autonomous systems
- Lead cross-functional research teams in developing cognitive computing frameworks for 2026 deployment
- Collaborate with quantum hardware teams to optimize AI-quantum hybrid workflows
- Publish peer-reviewed research in top-tier AI/quantum journals and conferences
- Develop ethical frameworks for advanced AI systems with embedded quantum capabilities
- Secure $5M+ in government and private research grants for 2026 initiatives
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field with 3+ years industry experience
- Published research in Nature/Science or equivalent journals on quantum-AI integration
- Expertise in quantum machine learning frameworks (e.g., PennyLane, Qiskit)
- Proficiency with TensorFlow Quantum and PyTorch Quantum libraries
- Experience with quantum hardware providers (IBM Quantum, Rigetti, IonQ)
- Strong background in ethical AI development and responsible innovation
- Proven track record of securing research funding or leading patent portfolios