Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum Machine Learning Engineer, you'll architect next-gen algorithms that leverage quantum phenomena to transform industries. Our collaborative, multidisciplinary environment offers unparalleled resources and mentorship from Nobel laureates and industry pioneers.
Why Nexus Quantum Labs?
• State-of-the-art quantum annealing hardware
• Equity packages + performance bonuses
• Flexible hybrid work model with unlimited PTO
• Professional development stipends for conferences and certifications
Responsibilities
- Design and implement quantum neural network architectures
- Develop hybrid quantum-classical ML pipelines for real-world applications
- Optimize quantum algorithms for error correction and scalability
- Collaborate with physicists to translate quantum phenomena into computational advantages
- Lead open-source contributions to quantum ML frameworks
- Mentor junior researchers through technical workshops and code reviews
Qualifications
- PhD in Computer Science, Physics, or related field (or equivalent experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow)
- Published research in quantum computing or quantum information theory
- Experience with high-performance computing and distributed systems
- Demonstrated ability to translate complex theories into practical implementations