Job Description
Step into the future with Nexus Quantum Labs! We're pioneering the next wave of quantum-AI integration and seeking exceptional talent to join our 2026 research initiative. As a Quantum AI Research Engineer, you'll architect hybrid quantum-classical systems that will redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world applications. Join us in solving humanity's most complex challenges while shaping the technological landscape of tomorrow.
Responsibilities
- Design and implement quantum neural network architectures for advanced AI systems
- Develop quantum algorithms for optimization problems in machine learning and data analysis
- Collaborate with quantum hardware engineers to optimize algorithm performance on quantum processors
- Create hybrid quantum-classical frameworks for real-time decision-making systems
- Lead research initiatives in quantum error correction and fault-tolerant computing
- Publish breakthrough findings in top-tier journals and conferences
- Drive patent development for novel quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Computer Science, Physics, or related field (or equivalent experience)
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and quantum simulation tools
- Strong background in machine learning frameworks (TensorFlow, PyTorch) and high-performance computing
- Proven track record of research publications in quantum/AI domains
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Proficiency in Python, C++, and low-level optimization techniques
- Deep understanding of quantum mechanics principles and information theory