Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms merging quantum supremacy with neural networks, pushing the limits of machine learning and cryptography. Collaborate with Nobel laureates in our state-of-the-art San Francisco lab where breakthroughs become reality. We offer competitive equity packages, flexible hybrid work, and unparalleled professional development in the world's most disruptive tech ecosystem.
Responsibilities
- Design and implement hybrid quantum-classical algorithms for AI optimization
- Develop error-correction protocols for quantum neural networks
- Lead cross-functional teams in prototyping quantum-AI integration systems
- Publish research in top-tier journals and industry whitepapers
- Collaborate with hardware teams to align software with quantum processor capabilities
- Secure and analyze quantum-encrypted datasets for AI training
- Drive innovation in quantum machine learning frameworks
Qualifications
- PhD in Quantum Computing, AI, or related field with 3+ years industry experience
- Expertise in quantum circuit design and Qiskit/PennyLane frameworks
- Proficiency in Python, TensorFlow, and PyTorch for AI model development
- Published research in quantum machine learning or quantum information theory
- Strong background in linear algebra, probability, and quantum mechanics
- Experience with high-performance computing environments
- Demonstrated ability to lead complex technical projects from concept to deployment