Job Description
Shape the Future of Intelligence
We are pioneering the next generation of computational systems. As a Senior AI & Quantum Integration Engineer, you will bridge the gap between classical machine learning and emerging quantum computing paradigms. This is an opportunity to work on groundbreaking projects that define the technological landscape of 2026 and beyond.
Why Join Us?
- Work at the intersection of Artificial Intelligence and Quantum Physics.
- Competitive equity package and comprehensive benefits.
- Flexible remote-first culture with a hub in San Francisco.
Your Mission
You will lead the architectural design of hybrid systems, ensuring our AI models can effectively leverage quantum processors. We need a thought leader who isn't just using existing tools, but is helping build the tools of tomorrow.
Responsibilities
- Design and implement scalable hybrid AI architectures integrating classical neural networks with quantum circuit models.
- Optimize quantum algorithms for practical hardware implementations to reduce noise and error rates.
- Collaborate with cross-functional teams of physicists and software engineers to define product roadmaps.
- Conduct research into novel quantum error correction techniques and apply them to training pipelines.
- Mentor junior engineers and foster a culture of innovation and technical excellence.
- Translate complex technical concepts into clear documentation and presentations for stakeholders.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, or a related quantitative field.
- 5+ years of professional experience in machine learning, deep learning, or software engineering.
- Experience with quantum computing frameworks such as Cirq, Qiskit, or Forest.
- Strong proficiency in Python, C++, and GPU programming (CUDA/OpenCL).
- Deep understanding of linear algebra, probability, and statistics.
- Proven track record of shipping complex, high-performance software systems.