Job Description
Join NexusTech Innovations at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-gen algorithms for our flagship 'Project Horizon' initiative, developing scalable quantum machine learning models with real-world applications across healthcare, logistics, and climate modeling. Collaborate with Nobel laureates and MIT-affiliated researchers in our Austin R&D hub featuring 100-qubit quantum processors and cutting-edge AI supercomputers.
Responsibilities
- Design and implement quantum-enhanced neural networks for unsupervised learning
- Develop hybrid quantum-classical algorithms for NP-hard optimization problems
- Lead cross-functional teams in prototyping quantum-AI integration solutions
- Author breakthrough research papers for Nature Quantum Computing journal
- Secure $5M+ in government innovation grants for 2026 tech initiatives
- Mentor PhD candidates in quantum machine learning methodologies
- Drive commercialization of quantum AI solutions with Fortune 100 partners
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 5+ years experience with quantum circuit design (Qiskit, Cirq)
- Published research in top-tier quantum computing journals
- Expertise in tensor network simulations and quantum error correction
- Proficiency with Python, TensorFlow Quantum, and quantum annealing frameworks
- Strong background in Bayesian optimization for hyperparameter tuning
- Security clearance for DoD quantum computing projects preferred