Job Description
Join Nexus Quantum Labs at the forefront of computational innovation. We're pioneering quantum-AI fusion technologies that will redefine 2026's digital landscape. As a Quantum AI Research Engineer, you'll architect next-gen algorithms, collaborate with Nobel laureates, and contribute to breakthroughs in cryptography, materials science, and autonomous systems. Our state-of-the-art facility offers unparalleled resources including 128-qubit processors and exascale computing clusters. Shape the future of technology while enjoying competitive equity packages, flexible work arrangements, and exclusive access to our annual Quantum Future Summit.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Collaborate with cross-functional teams to develop hybrid quantum-classical computing frameworks
- Lead research initiatives in quantum error correction and fault-tolerant architectures
- Publish findings in top-tier journals and present at international conferences
- Optimize quantum neural networks for enterprise-scale AI deployments
- Mentor junior researchers and contribute to open-source quantum development projects
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Published research in quantum machine learning or quantum information theory
- Proficiency with cloud platforms (AWS Braket, Azure Quantum, Google Quantum AI)
- Strong background in linear algebra, quantum mechanics, and statistical modeling