Job Description
At 2026, we are not just predicting the future; we are building it. We are a pioneering force in the realm of quantum-assisted artificial intelligence, dedicated to solving the world's most complex problems through next-generation computing paradigms. We are seeking a visionary Senior AI & Quantum Architect to lead the architectural vision of our core infrastructure.
In this role, you will bridge the gap between classical machine learning and emerging quantum technologies, designing systems that are not only powerful but also scalable and secure. You will work alongside world-class researchers and engineers to push the boundaries of what is possible in computation.
Why join 2026?
- Work on cutting-edge technology that will define the next decade of computing.
- Competitive equity package and comprehensive benefits.
- Flexible remote-first culture with a hub in the heart of San Francisco.
Responsibilities
- Design and implement scalable, high-performance hybrid quantum-classical architectures optimized for enterprise workloads.
- Lead the technical strategy for integrating quantum algorithms into existing deep learning pipelines.
- Mentor a team of talented software engineers and data scientists, fostering a culture of innovation and technical excellence.
- Conduct rigorous code reviews and architecture assessments to ensure system integrity and scalability.
- Collaborate with cross-functional teams, including product managers and quantum physicists, to define technical roadmaps.
- Identify and mitigate technical risks in the development lifecycle, ensuring timely delivery of high-quality features.
- Stay abreast of the latest advancements in quantum hardware, error correction, and AI methodologies.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field.
- 7+ years of experience in software architecture, with a focus on AI/ML systems.
- Proven experience working with quantum computing frameworks such as Qiskit, Cirq, or Azure Quantum.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
- Strong understanding of linear algebra, optimization theory, and probability.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
- Experience leading high-performance engineering teams in a fast-paced startup environment.