Job Description
Join NexusLabs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We seek a visionary Quantum AI Research Scientist to develop groundbreaking algorithms that will redefine computational boundaries and solve humanity's most complex challenges. In this role, you'll collaborate with Nobel laureates and industry pioneers in our state-of-the-art quantum research lab, pushing the limits of what's possible in machine learning, cryptography, and optimization.
This position offers unparalleled opportunities to shape the future of technology while working with cutting-edge quantum hardware and AI frameworks. You'll contribute to projects with real-world impact across healthcare, climate modeling, and autonomous systems, while enjoying comprehensive benefits including equity, flexible work arrangements, and professional development funding.
Responsibilities
- Design and implement novel quantum machine learning algorithms for real-world applications
- Lead research initiatives in quantum neural networks and hybrid quantum-classical systems
- Develop cryptographic protocols resistant to quantum computing threats
- Collaborate with hardware teams to optimize algorithms for next-generation quantum processors
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers and contribute to patent development
- Secure external funding through NSF and DARPA grants
Qualifications
- PhD in Quantum Computing, Computer Science, Physics, or related field
- 3+ years of experience in quantum algorithm development or quantum machine learning
- Proficiency with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Strong background in AI/ML with publication record in top-tier venues
- Expertise in linear algebra, probability theory, and computational complexity
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate theoretical concepts into practical implementations