Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as a Quantum AI Research Engineer. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. In this role, you'll develop groundbreaking quantum algorithms, optimize neural networks for quantum processors, and collaborate with world-class physicists and AI specialists to build the next generation of intelligent systems. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture that thrives on innovation and intellectual curiosity.
Responsibilities
- Design and implement quantum algorithms for machine learning applications
- Optimize neural network architectures for hybrid quantum-classical systems
- Develop error correction protocols for quantum AI models
- Collaborate with quantum hardware engineers to bridge theory and practice
- Lead research initiatives in quantum-enhanced data analysis
- Publish findings in leading scientific journals and conferences
- Mentor junior researchers in quantum computing principles
Qualifications
- PhD in Quantum Computing, Computer Science, or related field (or equivalent experience)
- 3+ years of experience in quantum algorithm development
- Expertise in Python, Qiskit, and quantum circuit optimization
- Strong background in machine learning frameworks (TensorFlow/PyTorch)
- Published research in quantum machine learning or quantum information theory
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, etc.)
- Proficiency in high-performance computing environments