Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution! We're pioneering quantum-AI convergence systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that leverage quantum entanglement and machine learning breakthroughs. Our Austin-based innovation hub offers unparalleled resources to transform theoretical concepts into scalable solutions. Collaborate with Nobel laureates and industry disruptors in an environment that values intellectual curiosity and audacious thinking.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical computing frameworks for enterprise clients
- Lead cross-functional teams to prototype and validate quantum-AI solutions
- Publish groundbreaking research in top-tier journals and conferences
- Secure $2M+ in federal and private research grants annually
- Mentor PhD candidates in quantum computing methodologies
- Partner with hardware teams to optimize quantum circuit performance
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent industry experience)
- 3+ years experience with quantum programming languages (Q#, Qiskit, Cirq)
- Publication record in Nature/Science or equivalent top-tier venues
- Expertise in quantum error correction and fault-tolerant architectures
- Proficiency in high-performance computing environments
- Strong background in neural networks and deep learning frameworks
- Demonstrated ability to secure competitive research funding