Job Description
Shape the future of human-machine intelligence at Nexus Quantum Labs. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-generation algorithms that redefine computational boundaries while working alongside Nobel Prize-winning physicists and AI visionaries in our Austin innovation hub.
Your impact will span quantum neural networks, error-corrected machine learning models, and hybrid quantum-classical systems that power breakthroughs in drug discovery, climate modeling, and autonomous systems. We provide unlimited access to quantum hardware, 5-figure annual R&D stipends, and patent ownership for all innovations.
Responsibilities
- Design and implement quantum neural networks for unsupervised learning tasks
- Develop error-correction protocols for fault-tolerant quantum AI systems
- Create hybrid quantum-classical algorithms for optimization problems
- Collaborate on quantum hardware-software co-design initiatives
- Author peer-reviewed publications in Nature/Science journals
- Mentor PhD researchers in quantum machine learning techniques
- Lead open-source contributions to quantum AI frameworks
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- Proficiency in Qiskit, Cirq, and quantum assembly languages
- Publication record at top-tier conferences (NeurIPS, QIP, etc.)
- Expertise in tensor networks and quantum circuit optimization
- Experience with NISQ-era algorithm implementation
- Strong knowledge of quantum error correction codes
- Proven ability to translate theoretical research into production systems