Job Description
We are pioneering the technological landscape of 2026 and beyond, focusing on the convergence of Artificial General Intelligence (AGI) and post-silicon computing architectures. We are looking for a visionary Senior AI/Quantum Architect to design the frameworks that will define the next generation of digital intelligence.
In this role, you will be at the forefront of engineering breakthroughs, bridging the gap between theoretical physics and practical software engineering. You will define the technical roadmap for our next-generation compute clusters and ensure our systems are resilient, scalable, and ready for the demands of the future.
Why Join Us?
Competitive compensation package including equity.
Access to state-of-the-art quantum hardware and AI labs.
Flexible remote-first culture with a hub in San Francisco.
Responsibilities
- Architect and lead the development of proprietary quantum algorithms tailored for large-scale data processing and optimization.
- Collaborate with cross-functional teams to integrate AGI models into enterprise-level infrastructure and edge computing nodes.
- Conduct rigorous research on emerging computing paradigms to ensure our stack remains future-proof for the 2026 era.
- Oversee the deployment and maintenance of high-performance computing clusters and distributed AI networks.
- Mentor junior engineers and researchers in advanced quantum mechanics and machine learning techniques.
- Define technical standards and best practices for scalable software development in the AI/Quantum domain.
Qualifications
- PhD in Computer Science, Physics, or a related quantitative field with a focus on AI or Quantum Mechanics.
- Minimum of 8 years of experience in software engineering, with at least 3 years specifically in quantum computing or advanced AI systems.
- Deep proficiency in Python, C++, and CUDA programming languages.
- Experience with quantum hardware simulators and cloud quantum platforms (e.g., IBM Q, AWS Braket, Rigetti).
- Strong understanding of neural network architectures, transformer models, and optimization theory.
- Ability to translate complex theoretical concepts into practical, scalable engineering solutions.