Job Description
Join Nexus Quantum Labs at the forefront of technological evolution. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll design next-generation algorithms that push the boundaries of computational possibility. Our state-of-the-art facility in San Francisco offers unparalleled resources and a collaborative environment where innovation thrives. This role offers equity, comprehensive benefits, and the opportunity to shape the technological landscape of 2026 and beyond.
Responsibilities
- Develop quantum machine learning models for real-world applications
- Design and implement quantum algorithms optimized for NISQ-era hardware
- Collaborate with cross-functional teams to integrate quantum solutions into AI frameworks
- Research and mitigate quantum decoherence effects in neural networks
- Publish findings in top-tier scientific journals and present at industry conferences
- Prototype quantum-classical hybrid computing architectures
- Drive open-source contributions to quantum AI libraries
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years of experience with quantum programming (Qiskit, Cirq, or similar)
- Expertise in machine learning frameworks (PyTorch, TensorFlow)
- Strong background in linear algebra, quantum mechanics, and information theory
- Proven track record of research publications in quantum computing
- Familiarity with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Experience with high-performance computing and parallel programming