Job Description
Are you ready to shape the infrastructure of tomorrow? At 2026, we are on a mission to pioneer the next generation of Artificial Intelligence and Quantum Computing solutions. We are looking for a visionary Senior AI & Quantum Systems Architect to lead our R&D division in San Francisco.
In this role, you will bridge the gap between theoretical quantum mechanics and practical, scalable AI deployment. You will work alongside world-class engineers to build systems that don't just solve today's problems, but define the landscape of tomorrow. If you are passionate about the future of technology and want to work in a high-growth, innovative environment, we want to hear from you.
Why join 2026?
- Work on cutting-edge projects that define the future of tech.
- Competitive compensation package with equity options.
- Flexible remote-first culture with a state-of-the-art SF office.
- Professional development budget for conferences and certifications.
Responsibilities
- Architect and design scalable AI models and quantum algorithms optimized for hybrid computing environments.
- Lead a team of junior architects and data scientists in the development of next-gen neural networks.
- Collaborate with cross-functional teams to integrate quantum computing protocols into existing cloud infrastructure.
- Conduct rigorous performance testing and optimization of AI systems to ensure low latency and high throughput.
- Stay abreast of the latest advancements in quantum hardware, machine learning frameworks, and hardware accelerators.
- Define technical roadmaps and establish best practices for AI security and data privacy.
Qualifications
- Master’s or Ph.D. in Computer Science, Physics, Mathematics, or a related field with a focus on AI and Quantum Mechanics.
- Minimum of 5+ years of professional experience in software architecture, with at least 2 years specifically in AI/ML or Quantum Computing.
- Deep proficiency in Python, C++, and Rust, with experience using frameworks such as PyTorch, TensorFlow, or Qiskit.
- Strong understanding of cloud architecture (AWS, Google Cloud, or Azure) and distributed systems.
- Experience with high-performance computing (HPC) environments and GPU acceleration (CUDA).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.