Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Lead to architect the next generation of hybrid quantum-neural systems that will redefine computational boundaries. In this pivotal role, you'll lead a multidisciplinary team pushing the limits of quantum machine learning algorithms while collaborating with industry pioneers to deploy breakthrough solutions in cryptography, materials science, and autonomous systems. Our Austin-based hub offers cutting-edge lab facilities and a culture where exponential thinking thrives.
Responsibilities
- Design and implement novel quantum-classical hybrid algorithms for real-world applications
- Lead cross-functional research teams in quantum machine learning and AI optimization
- Develop quantum-resistant cryptographic protocols for next-gen security frameworks
- Collaborate with hardware engineers to optimize quantum error correction techniques
- Publish peer-reviewed research and present findings at premier conferences
- Secure federal and private grants for quantum AI research initiatives
- Mentor PhD researchers and drive innovation through quantum computing hackathons
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning
- 5+ years of experience in quantum algorithm development or AI research
- Proficiency with quantum programming languages (Qiskit, Cirq, or Q#)
- Publication record in top-tier journals (Nature, Science, etc.)
- Expertise in tensor networks and quantum simulation methodologies
- Experience with high-performance computing clusters and GPU acceleration
- Strong background in linear algebra, probability theory, and information theory
- Track record of securing $500K+ in research funding