Job Description
Join Nexus Quantum Labs at the forefront of technological evolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges by 2026. Our cross-disciplinary team develops next-generation quantum algorithms and neural architectures that redefine computational boundaries. This is your opportunity to shape the future of artificial intelligence and quantum computing in an environment that values bold innovation and intellectual curiosity.
Responsibilities
- Design and implement quantum neural networks for machine learning applications
- Develop hybrid quantum-classical algorithms for optimization problems
- Lead research on quantum-resistant cryptographic systems
- Collaborate with hardware teams to optimize quantum circuit implementations
- Publish breakthrough research in top-tier quantum computing journals
- Mentor junior researchers in quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience)
- Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
- Strong background in machine learning and deep learning architectures
- Experience with quantum error correction protocols
- Published research in quantum computing or AI/ML conferences
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing