Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI fusion to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-generation computational frameworks that redefine machine learning paradigms. Our Austin-based innovation hub offers unparalleled resources for breakthrough research in quantum neural networks and algorithmic optimization.
Collaborate with Nobel laureates and industry disruptors in our state-of-the-art labs, where your work directly shapes the future of artificial intelligence. We offer competitive compensation, cutting-edge equipment, and a culture that celebrates intellectual curiosity.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computing architectures
- Lead cross-functional research initiatives in quantum neural network optimization
- Develop novel error-correction protocols for hybrid quantum-classical systems
- Publish breakthrough findings in top-tier scientific journals and conferences
- Secure $5M+ in research grants from DARPA and NSF
- Mentor PhD candidates in quantum-AI integration methodologies
- Translate theoretical models into scalable prototype systems
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning (or equivalent experience)
- Expertise in quantum circuit design and qubit manipulation
- Proven track record publishing in Nature/Science/IEEE journals
- Mastery of Python, C++, and quantum frameworks (Qiskit, Cirq)
- Experience with high-performance computing clusters (>10,000 cores)
- Strong background in tensor networks and quantum simulation
- Ability to secure federal research grants
- Passion for solving problems at the intersection of quantum mechanics and AI