Job Description
Join Nexus Future Labs at the forefront of technological evolution. We're pioneering breakthroughs in quantum-AI integration to solve humanity's most complex challenges by 2026. As an AI & Quantum Computing Researcher, you'll architect next-gen algorithms and collaborate with Nobel laureates in our Austin-based R&D hub. Enjoy unparalleled resources, flexible schedules, and equity in a company valued at $2B+. Shape the future of computing and make history.
Responsibilities
- Design and implement hybrid quantum-classical machine learning models for 2026-scale applications
- Lead research initiatives in quantum error correction and neural network optimization
- Develop patent-pending algorithms for real-time data processing at exascale speeds
- Collaborate with hardware teams to optimize quantum-AI system architectures
- Publish 3+ peer-reviewed papers annually in top-tier journals (Nature, Science)
- Mentor PhD candidates and lead cross-functional R&D sprints
Qualifications
- PhD in Computer Science, Physics, or related field with quantum computing specialization
- 5+ years experience in AI/ML frameworks (TensorFlow, PyTorch) and quantum SDKs (Qiskit, Cirq)
- Published research in quantum machine learning or topological quantum computing
- Expertise in high-performance computing (HPC) and parallel processing architectures
- Proven track record of translating theoretical concepts into scalable implementations
- Strong background in information theory and quantum information science