Job Description
Join Nexus Quantum Solutions at the forefront of technological evolution. We're pioneering quantum computing applications that will redefine industries by 2026. As a Quantum Machine Learning Engineer, you'll architect hybrid quantum-classical systems to solve previously unsolvable computational challenges. Collaborate with Nobel Prize-winning physicists and AI visionaries to develop next-generation algorithms for drug discovery, climate modeling, and financial optimization. Your work will directly shape the quantum-powered future.
Responsibilities
- Design and implement quantum machine learning algorithms using Qiskit and Cirq frameworks
- Develop hybrid quantum-classical models for high-dimensional data processing
- Optimize quantum circuits for error correction and scalability on real hardware
- Collaborate with quantum physicists to translate theoretical models into practical applications
- Lead research initiatives in quantum neural networks and variational algorithms
- Document and publish breakthrough findings in leading scientific journals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience considered)
- Expertise in quantum algorithms and quantum circuit design
- Proficiency in Python, TensorFlow/PyTorch, and quantum programming libraries
- Published research in quantum machine learning or related fields
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, etc.)
- Strong background in linear algebra, probability theory, and information theory
- Demonstrated ability to translate complex quantum concepts into practical solutions