Job Description
Step into 2026 with Nexus Labs, where we're pioneering the convergence of quantum computing and artificial intelligence. We seek a visionary Quantum AI Research Scientist to architect the next generation of computational systems that will redefine industries. Join our Austin-based innovation hub, where you'll collaborate with Nobel laureates and industry disruptors in a state-of-the-art facility designed for breakthrough thinking. This role offers unparalleled resources to explore uncharted territories of quantum machine learning, with direct impact on healthcare, climate modeling, and autonomous systems. Your work will power our 2026 flagship projects, including quantum neural networks and error-corrected AI models.
Responsibilities
- Design and implement novel quantum algorithms for machine learning applications
- Develop hybrid quantum-classical frameworks for real-time AI optimization
- Lead cross-functional teams in prototyping quantum neural networks
- Conduct advanced research in quantum error correction for scalable AI systems
- Author white papers and patents for quantum-AI integration methodologies
- Mentor junior researchers in quantum programming languages (Qiskit, Cirq)
- Collaborate with hardware teams to optimize quantum-AI co-design
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
- Published research in Nature/Science on quantum machine learning
- Expertise in quantum programming frameworks and cloud quantum platforms
- Proficiency in Python, TensorFlow/PyTorch, and quantum circuit design
- Demonstrated experience with quantum annealing or superconducting qubits
- Strong background in linear algebra, probability theory, and statistical modeling
- Track record of translating theoretical concepts into scalable prototypes