Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI fusion systems. Lead groundbreaking research in quantum machine learning and develop scalable solutions that will redefine computing paradigms. Collaborate with Nobel laureates and industry disruptors in our Austin innovation hub, equipped with state-of-the-art quantum processors and AI supercomputing infrastructure.
Shape the future of artificial intelligence through quantum-entangled neural networks and contribute to breakthroughs in computational complexity, cryptography, and autonomous systems. This role offers unparalleled opportunities to publish in Nature/Science journals and commercialize patented technologies.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Develop hybrid quantum-classical computing frameworks
- Lead research in quantum neural networks and AI acceleration
- Collaborate with hardware teams to optimize quantum-AI co-design
- Publish peer-reviewed research and secure patents
- Mentor cross-functional teams on quantum computing principles
- Translate theoretical models into scalable production systems
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in quantum machine learning research
- Proficiency in Qiskit, Cirq, or equivalent quantum programming frameworks
- Strong publication record in top-tier scientific journals
- Expertise in quantum error correction and fault tolerance
- Experience with large-scale distributed computing systems
- Deep understanding of tensor networks and quantum information theory