Job Description
Shape the Future of Intelligence at 2026 Dynamics
Are you ready to architect the next generation of artificial intelligence? 2026 Dynamics is pioneering the convergence of advanced AI and quantum computing to solve humanity's most complex challenges. We are seeking a visionary Senior AI & Quantum Architect to lead our R&D division in San Francisco.
In this role, you will bridge the gap between classical machine learning and emerging quantum hardware. You will design scalable neural networks that leverage quantum principles to achieve computational speeds previously thought impossible. If you are passionate about pushing the boundaries of technology and thrive in a fast-paced, high-impact environment, we want to meet you.
Why Join Us?
- Work on cutting-edge technology that defines the future.
- Competitive compensation and equity package.
- Flexible remote-first culture with state-of-the-art offices.
- Unlimited PTO and professional development budget.
Responsibilities
- • Design and implement next-generation AI models, specifically integrating classical neural networks with quantum algorithms.
- • Lead architectural decisions for scalable ML infrastructure, ensuring high availability and performance.
- • Collaborate with cross-functional teams to translate business requirements into technical solutions.
- • Optimize existing algorithms to reduce latency and improve computational efficiency on edge devices.
- • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- • Conduct rigorous code reviews and ensure adherence to best practices in software engineering.
Qualifications
- • Master’s or PhD in Computer Science, Physics, or a related technical field.
- • 5+ years of professional experience in machine learning, deep learning, or software architecture.
- • Proficiency in programming languages such as Python, C++, and TensorFlow or PyTorch.
- • Strong understanding of quantum computing concepts, including qubits, gates, and quantum circuits (ideal but not mandatory).
- • Experience with cloud platforms (AWS, Google Cloud, or Azure) and containerization technologies (Docker, Kubernetes).
- • Excellent problem-solving skills and the ability to communicate complex technical ideas to non-technical stakeholders.