Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computing, cryptography, and artificial intelligence. As a Quantum AI Research Scientist, you'll develop next-generation algorithms that merge quantum mechanics with machine learning to solve previously unsolvable problems. Our Austin-based R&D hub offers unparalleled resources, including access to 1000-qubit quantum processors and a team of Nobel laureates. Shape the future of technology while enjoying Austin's vibrant tech ecosystem.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for optimization, simulation, and machine learning tasks
- Develop error-correction protocols for quantum neural networks
- Collaborate with hardware engineers to co-design quantum-AI system architectures
- Lead research initiatives in quantum machine learning and quantum cryptography
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and drive innovation in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in quantum algorithm development or quantum machine learning
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Expertise in machine learning frameworks (PyTorch, TensorFlow)
- Strong mathematical background in linear algebra, probability, and information theory
- Published research in quantum computing or AI (with proven impact)
- Experience with high-performance computing environments