Job Description
Join Nexus Labs at the forefront of quantum-AI convergence. We're pioneering next-generation neural networks operating on quantum processors to solve previously unsolvable computational challenges. As an AI Research Scientist, you'll architect hybrid quantum-classical models that will redefine machine learning capabilities by 2026.
Our Austin campus features state-of-the-art quantum annealing labs and collaborative spaces where Nobel laureates and PhDs collaborate daily. We offer competitive equity packages, unlimited R&D budgets, and flexible work arrangements for breakthrough thinkers.
Responsibilities
- Design and implement quantum-inspired neural architectures for 2026-era AI applications
- Lead cross-functional teams in developing error-corrected quantum machine learning algorithms
- Author peer-reviewed publications on quantum-AI hybrid systems for top-tier journals
- Collaborate with hardware teams to optimize quantum circuit designs for deep learning tasks
- Develop proprietary frameworks for quantum data preprocessing and feature extraction
- Present research findings at international conferences including NeurIPS and QIP
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Computer Science, Physics, or related field with quantum computing focus
- 3+ years experience in quantum machine learning or quantum algorithm development
- Publication record in quantum computing or quantum AI research
- Expertise in Python, Qiskit, and quantum circuit optimization
- Deep understanding of quantum error correction and fault tolerance
- Proven ability to translate theoretical quantum concepts into practical implementations
- Experience with high-performance computing clusters and GPU acceleration
- Strong background in linear algebra, probability, and information theory