Job Description
Are you ready to build the future of computing?
2026 Systems is pioneering the next era of artificial intelligence and quantum computing. We are seeking a visionary Senior AI & Quantum Architect to lead our research division. If you thrive in high-pressure environments and are passionate about solving humanity's most complex problems, this is your opportunity to define the technological landscape of 2026 and beyond.
Why Join Us?
- Work on groundbreaking technology that will define the next decade.
- Competitive compensation and equity packages.
- Flexible remote-first culture with a hub in the heart of San Francisco.
- Access to the latest hardware and research facilities.
Join us in shaping the trajectory of the digital universe.
Responsibilities
- Architect and design scalable, fault-tolerant AI and quantum algorithms tailored for enterprise applications.
- Lead a cross-functional team of researchers, data scientists, and engineers to translate theoretical models into production-ready code.
- Conduct rigorous performance testing and optimization of quantum hardware interfaces and AI model inference.
- Stay ahead of industry trends in quantum supremacy, neural networks, and edge computing to propose innovative technical solutions.
- Mentor junior staff and establish best practices for coding, documentation, and system architecture.
- Collaborate with stakeholders to define technical roadmaps and ensure alignment with business objectives.
Qualifications
- Master’s or PhD in Computer Science, Physics, Mathematics, or a related field (4+ years of experience considered in lieu of advanced degree).
- Proven expertise in Python, C++, and at least one quantum computing framework (e.g., Qiskit, Cirq, or PyQuil).
- Deep understanding of machine learning principles, including deep neural networks, reinforcement learning, and transformer architectures.
- Experience with cloud infrastructure (AWS, Google Cloud, or Azure) and containerization technologies (Docker, Kubernetes).
- Strong problem-solving skills with a focus on algorithmic efficiency and scalability.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.