Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution as a Quantum AI Research Engineer. You'll pioneer the intersection of quantum computing and artificial intelligence, developing breakthrough solutions that will redefine industries. Our state-of-the-art facility in San Francisco offers unparalleled resources for world-class research and collaboration with Nobel laureates and industry pioneers.
We're seeking visionaries to accelerate quantum machine learning algorithms, optimize quantum neural networks, and develop hybrid quantum-classical frameworks for real-world applications. This role offers competitive equity, flexible work arrangements, and the opportunity to shape humanity's technological future.
Responsibilities
- Design and implement quantum machine learning algorithms for computational optimization
- Develop hybrid quantum-classical AI frameworks for enterprise applications
- Lead research on quantum neural network architectures and training methodologies
- Collaborate with hardware teams to co-design quantum processors for AI workloads
- Translate theoretical quantum computing concepts into practical AI solutions
- Author peer-reviewed publications and present findings at international conferences
- Mentor junior researchers in quantum AI methodologies and best practices
Qualifications
- PhD in Quantum Computing, AI, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum programming languages (Qiskit, Cirq, Q#)
- Strong foundation in machine learning frameworks (PyTorch, TensorFlow) and Python
- Published research in quantum machine learning or quantum information theory
- Experience with NISQ-era quantum hardware and error mitigation techniques
- Proficiency in high-performance computing and parallel processing
- Demonstrated ability to translate complex theoretical concepts into practical implementations