Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're seeking a Quantum AI Research Engineer to pioneer next-generation solutions that bridge quantum computing and artificial intelligence. This role offers unparalleled opportunities to shape the future of computational intelligence while working with world-class experts in a state-of-the-art facility. You'll develop breakthrough algorithms, optimize quantum neural networks, and contribute to projects that will redefine industries from healthcare to logistics.
We offer competitive compensation, equity packages, flexible work arrangements, and a culture that rewards bold innovation. If you're passionate about pushing the boundaries of what's possible in quantum machine learning, this is your moment to make history.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Develop hybrid quantum-classical neural network architectures for real-world applications
- Collaborate with cross-functional teams to integrate quantum solutions into enterprise systems
- Lead research initiatives in quantum error correction and fault-tolerant computing
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and contribute to open-source quantum AI frameworks
- Secure research funding through grant proposals and industry partnerships
Qualifications
- PhD in Quantum Computing, Machine Learning, Physics, or Computer Science
- Expertise in quantum programming languages (Qiskit, Cirq, Q#)
- Strong background in quantum algorithms and quantum information theory
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Published research in quantum computing or AI (3+ peer-reviewed papers)
- Experience with cloud quantum platforms (IBM Quantum, AWS Braket)
- Demonstrated ability to translate theoretical concepts into practical implementations