Job Description
Join our pioneering team at Nexus Innovations to shape the future of quantum artificial intelligence. We're seeking visionary Quantum AI Research Engineers to develop next-generation algorithms that bridge quantum computing and machine learning. This role offers unparalleled opportunities to work with cutting-edge hardware and publish breakthrough research in one of the world's most advanced R&D labs. Our collaborative environment includes access to state-of-the-art quantum processors and partnerships with leading academic institutions.
Responsibilities
- Design and implement hybrid quantum-classical machine learning models
- Develop error-corrected quantum algorithms for real-world AI applications
- Optimize quantum circuits for NISQ devices and fault-tolerant systems
- Collaborate with hardware teams to co-design quantum processors
- Lead open-source contributions to quantum AI frameworks
- Publish research in top-tier journals and conferences
Qualifications
- PhD in Quantum Computing, Computer Science, or related field
- 3+ years experience with quantum programming (Qiskit, Cirq, or PennyLane)
- Expertise in machine learning frameworks (PyTorch, TensorFlow)
- Strong background in quantum error correction and fault tolerance
- Published research in quantum machine learning or quantum algorithms
- Experience with high-performance computing environments