Job Description
Shape the technological frontier at Nexus Quantum Labs, where we're pioneering the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Scientist to architect breakthrough systems that will redefine computation in 2026 and beyond. Join our elite team at the intersection of physics, machine learning, and next-gen hardware.
About the Role
You'll lead cutting-edge research in quantum neural networks, develop novel hybrid quantum-classical algorithms, and collaborate with Nobel Prize-winning physicists to deploy quantum advantage solutions. This role offers unparalleled resources, including access to IBM's quantum processors and our custom-designed quantum annealing arrays.
Responsibilities
- Design and implement quantum neural networks for unsupervised learning tasks
- Develop hybrid quantum-classical optimization algorithms for real-world applications
- Lead research on quantum error correction techniques for fault-tolerant AI systems
- Collaborate with hardware teams to co-design quantum processors optimized for ML workloads
- Publish findings in top-tier journals (Nature, Science, IEEE) and present at conferences
- Mentor junior researchers and build quantum AI frameworks for industry adoption
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on quantum algorithm development using Qiskit or Cirq
- Expertise in machine learning frameworks (PyTorch, TensorFlow) with quantum extensions
- Published research in quantum machine learning or quantum information theory
- Strong background in linear algebra, quantum mechanics, and computational complexity
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Proficiency in Python with C++ for high-performance quantum simulations