Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary Quantum AI Research Engineers to architect breakthrough solutions that will redefine computational paradigms by 2026. This role offers unparalleled opportunities to work with cutting-edge quantum hardware and machine learning frameworks in a collaborative, innovation-driven environment. You'll contribute to projects with global impact while advancing your expertise in one of the most transformative fields of our time.
Responsibilities
- Design and implement quantum algorithms for machine learning applications
- Develop hybrid quantum-classical computational frameworks
- Conduct research on quantum error correction and fault tolerance
- Collaborate with hardware teams to optimize quantum processor interfaces
- Lead open-source contributions to quantum AI libraries
- Mentor junior researchers and publish findings in top-tier journals
- Secure research funding through grant proposals and industry partnerships
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming (Qiskit, Cirq, or similar)
- Expertise in machine learning frameworks (PyTorch/TensorFlow)
- Strong background in linear algebra, quantum mechanics, and information theory
- Published research in quantum computing or AI conferences
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)
- Ability to translate complex theoretical concepts into practical implementations