Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll develop next-gen algorithms merging quantum mechanics with machine learning, transforming industries from healthcare to logistics.
Our multidisciplinary team operates in a state-of-the-art lab with access to D-Wave quantum processors and NVIDIA's latest GPU clusters. You'll collaborate with Nobel laureates and publish breakthrough research while shaping the future of autonomous systems.
Responsibilities
- Design and implement hybrid quantum-classical machine learning models
- Optimize quantum circuits for AI training acceleration
- Develop error-correction protocols for quantum neural networks
- Lead prototyping of quantum-AI integration frameworks
- Collaborate with hardware teams on quantum hardware optimization
- Publish research in top-tier journals and conferences
- Secure grants and patents for breakthrough innovations
Qualifications
- PhD in Quantum Computing, AI, or related field (MS with 5+ years experience)
- Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
- Strong background in deep learning frameworks (PyTorch/TensorFlow)
- Experience with quantum error correction and fault tolerance
- Published research in quantum machine learning
- Proficiency in high-performance computing environments
- Strong problem-solving skills for complex quantum-AI challenges