Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that redefine computational boundaries. Our Austin campus features state-of-the-art quantum processors and a collaborative ecosystem of Nobel laureates and industry disruptors. This role offers unparalleled growth opportunities in the rapidly expanding quantum economy, with competitive equity packages and flexible work arrangements.
Responsibilities
- Design and implement hybrid quantum-classical machine learning models for predictive analytics
- Lead breakthrough research in quantum neural networks and optimization algorithms
- Collaborate with hardware teams to develop error-corrected quantum processors
- Author peer-reviewed publications and patents in quantum AI methodologies
- Mentor cross-functional teams on quantum computing principles and applications
- Secure and manage multi-million dollar research grants from government and industry partners
- Contribute to open-source quantum AI frameworks and standards development
Qualifications
- PhD in Quantum Computing, AI, Physics, or equivalent with 3+ years research experience
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and classical ML frameworks
- Published work in quantum machine learning or quantum information theory
- Experience with quantum hardware integration and error mitigation techniques
- Strong mathematical foundation in linear algebra, probability, and quantum mechanics
- Demonstrated ability to translate complex theoretical concepts into practical implementations
- Expertise in high-performance computing environments and parallel processing
- Track record of securing competitive research funding or industry partnerships