Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're seeking visionary AI/ML Engineers to pioneer quantum computing applications that will redefine industries. This role offers unparalleled opportunities to work with cutting-edge quantum hardware and develop next-generation machine learning models. Be part of a dynamic, multidisciplinary team pushing the boundaries of computational intelligence while solving real-world challenges in healthcare, cryptography, and autonomous systems. Enjoy competitive compensation, flexible work arrangements, and a culture that champions innovation and continuous learning.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Collaborate with quantum hardware engineers to integrate ML models with quantum processors
- Develop hybrid quantum-classical pipelines for accelerated AI training and inference
- Lead research initiatives in quantum neural networks and quantum-enhanced data analysis
- Translate theoretical quantum computing concepts into practical, scalable solutions
- Document and present findings to technical and executive stakeholders
Qualifications
- Master's degree in Computer Science, Physics, or related field (PhD preferred)
- 3+ years of experience in machine learning and quantum computing fundamentals
- Proficiency in Python, TensorFlow/PyTorch, and quantum programming frameworks (Qiskit, Cirq)
- Strong understanding of quantum algorithms (Shor's, Grover's, VQE) and error correction
- Experience with high-performance computing and distributed systems
- Published research in quantum machine learning or related fields
- Demonstrated ability to work in cross-functional R&D environments