Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary researchers to develop revolutionary algorithms that will redefine computational boundaries by 2026. Our Austin-based hub offers state-of-the-art facilities and unparalleled collaboration opportunities with Nobel laureates and industry disruptors. Shape the future of human-machine intelligence while enjoying competitive benefits, flexible work arrangements, and dedicated R&D funding.
Responsibilities
- Design and implement quantum neural network architectures for next-gen AI applications
- Develop hybrid quantum-classical computing frameworks for real-time data processing
- Lead cross-functional teams in prototyping quantum-resistant cybersecurity protocols
- Author breakthrough research papers for top-tier journals and industry conferences
- Collaborate with hardware teams to optimize quantum chip integration with classical systems
- Secure patents for novel quantum algorithms and AI optimization techniques
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning with 3+ years industry experience
- Published research in quantum machine learning or quantum information theory
- Expertise in quantum programming languages (Qiskit, Cirq) and high-performance computing
- Deep understanding of quantum error correction and fault-tolerant systems
- Proven track record of translating theoretical models into scalable implementations
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)