Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Lead Quantum AI Engineer to architect and deploy next-generation quantum machine learning solutions. This role offers unparalleled opportunities to shape the future of computational intelligence while collaborating with Nobel Prize-winning physicists and AI pioneers. Our state-of-the-art facility in San Francisco's tech corridor provides an incubator for breakthrough innovations that will redefine industries.
As a key member of our Quantum AI Division, you'll lead projects in quantum algorithm optimization, hybrid quantum-classical neural networks, and error-corrected quantum computing. We offer competitive equity packages, unlimited learning stipends, and a flexible hybrid work model designed for peak productivity and work-life integration.
Responsibilities
- Design and implement quantum algorithms for machine learning applications
- Lead research in quantum neural network architectures and optimization
- Develop error-correction protocols for fault-tolerant quantum computing systems
- Collaborate with cross-functional teams to integrate quantum solutions with classical AI frameworks
- Publish research in top-tier quantum computing and AI journals
- Mentor junior engineers and foster a culture of quantum innovation
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq)
- Proven track record in developing production-level quantum algorithms
- Deep understanding of quantum error correction and fault tolerance
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Published research in quantum computing or quantum machine learning
- Experience leading technical teams and managing R&D projects