Job Description
We are pioneering the infrastructure for the 2026 era of computing. As the industry accelerates towards the integration of quantum supremacy and artificial general intelligence, we are looking for a visionary Quantum AI Architect to lead our technical strategy. You will be responsible for designing scalable, hybrid systems that bridge the gap between classical deep learning and future-proof quantum processors.
In this role, you won't just maintain legacy systems; you will architect the foundational code that powers the next generation of autonomous intelligence. If you are passionate about the intersection of physics, mathematics, and code, and you want to define the standard for 2026 and beyond, we want to hear from you.
Why join us?
- Work on cutting-edge technology that defines the future.
- Competitive equity package and top-tier healthcare.
- Flexible remote-first culture with a hub in San Francisco.
- Access to the latest quantum hardware and cloud resources.
Responsibilities
- Design and implement scalable quantum algorithms integrated with classical machine learning pipelines.
- Lead a high-performance team of engineers and data scientists to deliver production-ready AI solutions.
- Conduct research into quantum error correction and optimization techniques.
- Collaborate with product leadership to align technical roadmaps with long-term business goals.
- Ensure system security, scalability, and efficiency across distributed environments.
- Stay ahead of the curve in quantum hardware advancements and software frameworks.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field.
- 5+ years of experience in software engineering, with a focus on AI/ML or high-performance computing.
- Deep proficiency in Python, C++, and quantum software development kits (Qiskit, Cirq, or PyTorch Quantum).
- Strong understanding of classical machine learning models and how to translate them for quantum environments.
- Proven track record of leading technical teams in a fast-paced, agile environment.
- Excellent communication skills to bridge the gap between complex technical concepts and business stakeholders.