Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary Quantum AI Research Engineer to develop groundbreaking algorithms that will redefine computational boundaries. This role offers unparalleled opportunities to work with cutting-edge quantum hardware and machine learning frameworks in an environment that values innovation and intellectual curiosity.
Responsibilities
- Design and implement hybrid quantum-classical machine learning models for complex real-world applications
- Lead R&D initiatives in quantum error correction and scalable quantum computing architectures
- Collaborate with cross-functional teams to integrate quantum solutions into existing AI pipelines
- Develop novel optimization algorithms leveraging quantum annealing and gate-based computing
- Publish research in peer-reviewed journals and present findings at industry conferences
- Mentor junior researchers and contribute to patent development for quantum IP
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent industry experience)
- 5+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) and quantum algorithms
- Strong background in linear algebra, quantum mechanics, and computational complexity theory
- Proven track record of publishing in top-tier quantum/AI conferences (e.g., QIP, NeurIPS)
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)