Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution as we pioneer quantum machine learning solutions for Fortune 500 clients. Our cross-disciplinary team develops cutting-edge algorithms that leverage quantum computing to solve previously impossible optimization problems. This role offers unparalleled opportunity to shape the future of AI while working with industry-leading quantum hardware and proprietary software frameworks.
Responsibilities
- Design and implement hybrid quantum-classical ML architectures for real-world applications
- Develop quantum algorithms for pattern recognition and predictive analytics
- Collaborate with quantum hardware engineers to optimize algorithm performance
- Create simulation environments for quantum neural network testing
- Lead research initiatives in quantum-enhanced deep learning techniques
- Translate complex quantum concepts into client-ready solutions
Qualifications
- PhD in Computer Science, Physics, or related field (or equivalent experience)
- Proficiency in quantum computing frameworks (Qiskit, Cirq, or PennyLane)
- Strong background in machine learning (PyTorch/TensorFlow)
- Experience with quantum error correction protocols
- Published research in quantum machine learning or adjacent fields
- Expertise in high-performance computing environments