Job Description
Join NeuroQuantum Dynamics at the forefront of 2026's technological revolution. We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Lead, you'll architect next-gen neural networks operating in quantum superposition, pushing the boundaries of computational intelligence.
Our Austin-based lab features state-of-the-art cryogenic quantum processors and proprietary neuromorphic hardware. You'll collaborate with Nobel laureates and Turing Award winners in an environment where breakthroughs aren't just encouraged – they're expected.
What You'll Experience:
- Unprecedented R&D resources and experimental freedom
- Equity in a pre-IPO quantum AI unicorn
- Flexible remote-first hybrid work model
- Patent ownership for all innovations
Responsibilities
- Design quantum neural networks for real-time anomaly detection in 10^15+ data streams
- Develop error-corrected quantum algorithms for unsupervised learning at scale
- Lead cross-functional teams in prototyping quantum-classical hybrid systems
- Secure $5M+ in quantum computing research grants annually
- Publish 2+ papers in Nature/Science journals quarterly
- Architect quantum machine learning frameworks for Fortune 500 partners
- Mentor PhD researchers in quantum information theory
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
- 5+ years developing quantum algorithms with demonstrated 1000+ qubit simulations
- Expertise in quantum error correction and fault-tolerant architectures
- Publication record in top-tier quantum/AI conferences (QIP, NeurIPS, ICML)
- Proficiency in Qiskit, Cirq, and quantum circuit optimization
- Experience with neuromorphic computing frameworks (Loihi, Intel's Lattice)
- Strong background in tensor networks and quantum machine learning