Job Description
Join NeuralCore Dynamics at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Engineer to architect next-generation neural networks that harness quantum computing principles. This role sits at the intersection of machine learning, quantum mechanics, and autonomous systems – perfect for pioneers who thrive in uncharted territory. You'll collaborate with Nobel laureates and industry disruptors in our Austin Innovation Hub, where your work will directly shape humanity's technological trajectory.
What makes this role exceptional: State-of-the-art quantum annealing lab, unlimited research budget, and equity in a unicorn-backed startup. We offer relocation packages, flexible hybrid work, and sabbatical programs for groundbreaking breakthroughs.
Responsibilities
- Design and implement quantum-inspired neural architectures for unsupervised learning systems
- Develop novel optimization algorithms leveraging quantum tunneling effects in classical environments
- Lead cross-functional teams to prototype AI systems with 1000x current computational efficiency
- Author whitepapers and patents for breakthrough quantum-classical hybrid methodologies
- Mentor junior researchers in emerging quantum machine learning paradigms
- Collaborate with hardware teams to co-design quantum-classical interfaces
- Present findings at premier conferences like NeurIPS and Quantum Future Summit
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics (or equivalent research experience)
- Publication record in Nature/Science or top-tier ML/quantum journals
- Expertise in TensorFlow Quantum, PennyLane, or similar quantum ML frameworks
- Proficiency with quantum circuit design and error correction protocols
- 3+ years experience training neural networks on 1000+ GPU clusters
- Deep understanding of tensor networks and quantum entanglement principles
- Portfolio demonstrating deployed AI systems with measurable quantum advantage