Job Description
Step into the future with Nexus Quantum Labs as we pioneer the next wave of technological evolution. We seek a Quantum AI Research Lead to architect breakthrough solutions that will redefine industries by 2026. Join our elite team of innovators working at the intersection of quantum computing, artificial intelligence, and next-gen machine learning. This role offers unparalleled opportunities to shape the digital landscape while working with state-of-the-art infrastructure in Austin's thriving tech ecosystem.
Your Impact:
You will lead transformative research initiatives, develop quantum algorithms that solve previously impossible computational challenges, and mentor the next generation of quantum AI specialists. Our commitment to cutting-edge innovation includes competitive equity packages, flexible work arrangements, and dedicated R&D funding.
Responsibilities
- Design and implement quantum machine learning algorithms for complex data modeling
- Lead cross-functional teams in developing hybrid quantum-classical computing architectures
- Drive research in quantum neural networks and AI optimization techniques
- Collaborate with hardware teams to optimize quantum AI solutions for scalability
- Publish breakthrough research in top-tier quantum computing and AI journals
- Develop patentable quantum AI methodologies with commercial applications
- Mentor junior researchers and establish best practices in quantum AI development
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 5+ years in quantum computing or advanced AI research with published results
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and AI frameworks
- Proven track record of developing quantum algorithms for real-world applications
- Deep understanding of quantum error correction and fault tolerance techniques
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Strong background in linear algebra, probability theory, and quantum mechanics