Job Description
Join Nexus Quantum Solutions at the forefront of technological innovation as a Quantum Machine Learning Engineer. We're pioneering the convergence of quantum computing and AI to solve previously unsolvable problems. In this pivotal role, you'll architect cutting-edge quantum algorithms that redefine machine learning paradigms. You'll collaborate with world-class researchers to develop scalable quantum neural networks and hybrid quantum-classical systems that power our next-generation AI platform. This is your opportunity to shape the future of computation while working in our state-of-the-art quantum lab in San Francisco.
We offer competitive compensation, comprehensive benefits, and unparalleled opportunities to publish groundbreaking research. If you're passionate about quantum supremacy and AI evolution, apply now to join our elite team.
Responsibilities
- Design and implement quantum algorithms for machine learning applications
- Develop hybrid quantum-classical neural networks for real-world problem-solving
- Optimize quantum circuits for performance on superconducting and photonic platforms
- Collaborate with AI researchers to integrate quantum acceleration into deep learning frameworks
- Lead research initiatives in quantum error mitigation and fault-tolerant ML
- Present findings at international conferences and peer-reviewed publications
- Mentor junior engineers and contribute to quantum computing best practices
Qualifications
- PhD in Computer Science, Physics, Mathematics, or related field with quantum focus
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and circuit design
- Proven experience in machine learning frameworks (PyTorch, TensorFlow) and algorithm development
- Strong background in quantum information theory and quantum error correction
- Publication record in quantum computing or quantum machine learning
- Proficiency in Python, C++, and high-performance computing environments
- Demonstrated ability to translate complex quantum concepts into practical implementations