Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll develop next-generation algorithms that leverage quantum supremacy to transform industries from drug discovery to climate modeling. Our state-of-the-art lab offers unparalleled resources and collaborative freedom to push the boundaries of what's computationally possible.
This role is perfect for visionary researchers who thrive at the intersection of theoretical physics and machine learning. You'll work alongside Nobel laureates and Silicon Valley innovators in an environment where your breakthrough ideas become reality.
Responsibilities
- Design and implement quantum machine learning algorithms for enterprise applications
- Develop hybrid quantum-classical computing frameworks for real-world problem-solving
- Lead research initiatives in quantum neural networks and quantum-enhanced AI models
- Collaborate with hardware teams to optimize quantum algorithm performance
- Publish cutting-edge research in peer-reviewed journals and industry conferences
- Mentor junior researchers and contribute to patent development
- Translate theoretical quantum computing concepts into scalable production solutions
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent industry experience)
- Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
- Strong background in machine learning frameworks (TensorFlow, PyTorch)
- Proven track record of quantum algorithm development and optimization
- Familiarity with quantum error correction and fault-tolerant computing principles
- Experience with high-performance computing environments and parallel processing
- Published research in quantum computing or quantum machine learning
- Demonstrated ability to communicate complex quantum concepts to diverse audiences