Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms for our autonomous quantum computing platform, pushing the limits of machine learning and quantum mechanics. Collaborate with Nobel laureates and disrupt industries through breakthrough research in fault-tolerant quantum neural networks. Your work will directly accelerate humanity's transition to the quantum era.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical neural network architectures
- Optimize quantum circuit implementations for NISQ-era hardware
- Lead cross-functional teams in deploying quantum-AI solutions
- Author breakthrough research publications in top-tier journals
- Patent novel quantum-AI methodologies and IP frameworks
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent experience)
- 3+ years hands-on quantum programming (Qiskit, Cirq, or Q#)
- Expertise in deep learning frameworks (PyTorch/TensorFlow)
- Published research in quantum machine learning or quantum information
- Strong background in linear algebra and quantum mechanics
- Experience with cloud quantum computing platforms (AWS Braket, Azure Quantum)
- Proven track record of translating theory into production systems