Job Description
Join the quantum revolution at Nexus Quantum Labs, where we're pioneering the intersection of quantum computing and artificial intelligence. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that will redefine computational boundaries. Our Austin-based team operates at the forefront of 2026's most disruptive technologies, collaborating with Nobel laureates and industry pioneers to solve humanity's grandest challenges. We offer unparalleled resources, flexible research parameters, and a culture where curiosity fuels innovation.
Your Impact: Develop hybrid quantum-classical machine learning models, optimize quantum neural networks, and publish breakthrough research in Nature Physics. Your work will directly influence the development of quantum-safe cryptography, drug discovery acceleration, and climate modeling systems.
Responsibilities
- Design and implement novel quantum machine learning algorithms for real-world applications
- Collaborate with quantum hardware engineers to optimize AI workloads on quantum processors
- Lead cross-functional research projects in quantum neural networks and quantum-enhanced optimization
- Develop open-source quantum AI frameworks and contribute to industry standards
- Mentor junior researchers and publish findings in top-tier scientific journals
- Secure external research funding through NSF and DARPA grants
Qualifications
- PhD in Quantum Computing, AI, Physics, or Computer Science with 3+ years research experience
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and classical ML frameworks
- Published research in quantum machine learning or quantum algorithms
- Expertise in quantum error correction and fault-tolerant architectures
- Strong background in linear algebra, probability theory, and quantum information theory
- Experience with high-performance computing and GPU acceleration
- Demonstrated ability to translate complex theoretical concepts into practical implementations