Job Description
Shape the technological landscape of 2026 at Nexus Quantum Labs, where quantum computing meets artificial intelligence. We're pioneering the next frontier of computational intelligence and seek visionary Research Engineers to develop breakthrough quantum algorithms for machine learning applications. Join our multidisciplinary team in a state-of-the-art facility dedicated to solving humanity's most complex challenges through quantum-AI convergence.
As a Quantum AI Research Engineer, you'll collaborate with Nobel Prize-winning physicists and AI thought leaders to prototype next-generation quantum neural networks. Our culture values radical innovation, with flexible R&D budgets and dedicated quantum computing resources including superconducting qubit processors and photonic systems.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Develop hybrid quantum-classical neural network architectures
- Conduct experimental validation of quantum AI models on real quantum hardware
- Lead research publications in top-tier quantum computing conferences
- Collaborate with hardware teams to co-design quantum processors
- Mentor junior researchers in quantum programming techniques
- Secure research grants from government and private quantum initiatives
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow)
- Published research in quantum machine learning or quantum algorithms
- Strong mathematical foundation in linear algebra, probability, and quantum mechanics
- Experience with cloud-based quantum computing platforms
- Proven ability to translate theoretical concepts into experimental implementations