Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the fusion of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-generation algorithms that redefine computational boundaries in cryptography, material science, and climate modeling. Our state-of-the-art facility in San Francisco offers unparalleled resources including 512-qubit quantum processors and dedicated AI supercomputing clusters. We provide competitive equity packages, flexible work arrangements, and opportunities to publish breakthrough research in top-tier journals.
What you'll experience:
- Collaborate with Nobel laureates and Turing Award winners
- Access to exclusive quantum hardware partnerships
- Annual innovation retreats in global tech hubs
- Comprehensive wellness and professional development stipends
Responsibilities
- Design and implement hybrid quantum-classical machine learning frameworks
- Develop error-corrected quantum algorithms for optimization problems
- Lead cross-functional teams in prototyping quantum neural networks
- Collaborate with hardware teams to optimize quantum circuit performance
- Translate theoretical quantum models into scalable AI applications
- Author peer-reviewed research on quantum-AI convergence
- Mentor junior researchers in quantum programming best practices
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- Expertise in quantum programming languages (Qiskit, Cirq, Q#)
- Published research in quantum machine learning or quantum algorithms
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with quantum error correction protocols
- Strong background in linear algebra and probability theory
- Demonstrated ability to lead technical projects from concept to deployment
- Passion for ethical AI development and quantum democratization