Job Description
Shape the Future of Computing with Us
We are at the forefront of the technological revolution, pioneering the next generation of artificial intelligence powered by quantum mechanics. As we gear up for the transformative year of 2026, we are seeking a visionary Senior Quantum AI Research Scientist to lead our advanced R&D initiatives. If you are passionate about solving the world's most complex problems and are ready to push the boundaries of what is possible, join our elite team in San Francisco.
In this role, you will bridge the gap between theoretical physics and practical software engineering, developing scalable quantum algorithms that will redefine the industry standard.
Responsibilities
- Algorithm Development: Design and implement novel quantum algorithms to accelerate machine learning tasks and optimization problems.
- Hardware-Software Integration: Collaborate closely with hardware engineers to optimize software for quantum processors, ensuring maximum efficiency and error mitigation.
- Research Leadership: Lead cross-functional research projects focused on quantum error correction and noise resilience for 2026+ infrastructure.
- Publishing: Author and publish high-impact research papers in leading quantum computing and AI conferences (e.g., NeurIPS, QIP).
- Mentorship: Mentor junior researchers and engineering interns, fostering a culture of innovation and technical excellence.
- Strategic Planning: Define the technical roadmap for quantum integration within our existing AI ecosystem.
Qualifications
- Education: Ph.D. in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Information Science.
- Experience: 5+ years of hands-on experience in quantum computing research or a related high-performance computing field.
- Programming: Expert proficiency in quantum programming frameworks (Qiskit, Cirq, Pennylane) and classical deep learning frameworks (PyTorch, TensorFlow).
- Theoretical Knowledge: Deep understanding of linear algebra, probability theory, and quantum mechanics principles.
- Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.