Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence systems that will redefine computing paradigms. As a Quantum AI Research Scientist, you'll architect next-gen algorithms that bridge quantum mechanics and machine learning, solving previously insurmountable challenges in cryptography, optimization, and computational biology. Our Austin lab offers unparalleled resources and a culture where breakthroughs are celebrated daily.
Responsibilities
- Design and implement quantum-enhanced machine learning frameworks for 2026-era applications
- Develop novel algorithms leveraging quantum entanglement for accelerated data processing
- Lead cross-functional teams to prototype quantum-AI hybrid systems
- Author peer-reviewed publications on quantum-AI convergence methodologies
- Collaborate with hardware teams to optimize quantum computing architectures
- Secure intellectual property through patent applications for breakthrough innovations
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years experience with quantum programming languages (Q#, Qiskit)
- Publication record in top-tier AI/quantum journals (Nature, Science, NeurIPS)
- Expertise in quantum error correction and fault-tolerant systems
- Strong Python/C++ skills with TensorFlow/PyTorch proficiency
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Deep understanding of 2026 quantum hardware roadmap constraints