Job Description
Join Nexus Quantum Systems at the forefront of technological innovation as we redefine the boundaries of quantum computing and artificial intelligence. We seek a visionary Quantum Machine Learning Engineer to architect and deploy next-generation algorithms that harness quantum phenomena to solve previously impossible problems. This role offers unparalleled opportunities to shape the future of computational intelligence in a dynamic, collaborative environment.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization and pattern recognition
- Develop hybrid quantum-classical models leveraging IBM Quantum and AWS Braket platforms
- Optimize qubit utilization and error correction protocols for scalable quantum circuits
- Collaborate with cross-functional teams to integrate quantum solutions into production systems
- Research emerging quantum hardware advancements and translate them into practical ML applications
- Lead quantum algorithm prototyping and performance benchmarking initiatives
Qualifications
- PhD or Master's degree in Quantum Computing, Computer Science, or related field
- 3+ years of experience in quantum algorithms or quantum machine learning
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Strong foundation in machine learning frameworks (TensorFlow, PyTorch)
- Published research in quantum computing or quantum information theory
- Expertise in quantum error correction and fault-tolerant systems