Job Description
Join NeuroSync Labs at the forefront of 2026's technological revolution. We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect next-gen neural networks that transcend classical limitations and redefine machine learning paradigms. Our Austin-based innovation hub offers unparalleled resources, including access to 1000-qubit quantum processors and petascale GPU clusters. Work alongside Nobel laureates and disrupt the boundaries of computational possibility.
Responsibilities
- Design and implement hybrid quantum-classical algorithms for real-world optimization problems
- Develop proprietary error-correction protocols for fault-tolerant quantum neural networks
- Lead cross-functional teams in prototyping quantum AI applications across healthcare and logistics
- Author breakthrough research publications in Nature/Science journals
- Architect scalable quantum machine learning pipelines processing exabyte-scale datasets
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
Qualifications
- PhD in Quantum Computing, Theoretical Computer Science, or related field
- 3+ years of hands-on quantum algorithm development (Qiskit/Cirq experience essential)
- Published research in quantum machine learning or quantum information theory
- Expertise in tensor networks and quantum circuit optimization techniques
- Proficiency in high-performance computing environments (Slurm/HPC clusters)
- Demonstrated ability to translate theoretical models into practical implementations