Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computation. As a Quantum AI Research Engineer, you'll develop next-gen algorithms merging quantum computing with machine learning. Our interdisciplinary team works in state-of-the-art labs with access to cutting-edge quantum processors. We offer competitive equity packages, flexible work arrangements, and opportunities to publish groundbreaking research.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Develop hybrid quantum-classical AI models for enterprise applications
- Collaborate with physicists to translate quantum phenomena into practical AI solutions
- Lead research initiatives in quantum neural networks and quantum data compression
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and drive technical innovation roadmap
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics
- 3+ years experience in quantum algorithm development
- Proficiency in quantum programming languages (Q#, Cirq, or Qiskit)
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Published research in quantum computing or AI/ML
- Expertise in quantum error correction and fault-tolerant systems
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)