Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution as a Quantum AI Research Scientist. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. In this role, you'll collaborate with Nobel laureates and industry pioneers to develop next-gen quantum algorithms that will redefine computational boundaries. Our state-of-the-art quantum lab offers unparalleled resources for groundbreaking research in error correction, quantum machine learning, and neuromorphic computing.
We offer competitive equity packages, flexible hybrid work arrangements, and access to exclusive industry conferences. As part of our elite research division, you'll contribute to projects with potential global impact, from climate modeling to drug discovery. Our culture values intellectual curiosity, collaborative innovation, and bold thinking.
Responsibilities
- Design and implement novel quantum algorithms for AI optimization and machine learning acceleration
- Lead cross-functional teams in developing quantum neural network architectures
- Conduct cutting-edge research in quantum error correction and fault-tolerant computing
- Publish findings in top-tier journals and present at premier conferences
- Collaborate with hardware teams to optimize quantum-classical hybrid systems
- Develop patentable intellectual property in quantum machine learning
- Mentor junior researchers and contribute to technical strategy
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Published research in quantum machine learning or quantum algorithms
- Expertise in at least one classical ML framework (TensorFlow, PyTorch)
- Strong mathematical background in linear algebra, probability, and quantum mechanics
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
- Proven ability to lead complex technical projects to completion