Job Description
Welcome to 2026 Dynamics, a visionary leader in next-generation artificial intelligence and quantum computing infrastructure. We are on a mission to build the digital backbone of tomorrow, and we are looking for a highly skilled Senior AI Architect to join our elite engineering team in San Francisco.
In this pivotal role, you will design and implement scalable machine learning models that push the boundaries of what is possible. You will work at the intersection of theoretical physics and software engineering, helping us transition from traditional silicon-based processing to hybrid quantum systems. If you are passionate about the future of technology and want to shape the industry standard, this is your opportunity to lead the charge.
Responsibilities
- Architect Design: Lead the end-to-end design of scalable AI systems, including neural networks and quantum algorithms, ensuring high performance and fault tolerance.
- Model Development: Develop, train, and fine-tune complex machine learning models using cutting-edge frameworks like PyTorch and TensorFlow.
- Technical Leadership: Mentor junior engineers and data scientists, conducting code reviews and establishing best practices for data science and MLOps.
- Infrastructure Optimization: Collaborate with DevOps teams to optimize cloud infrastructure (AWS/GCP) for massive-scale AI inference and training.
- Research & Innovation: Stay at the forefront of AI research, exploring novel techniques in generative AI, reinforcement learning, and quantum optimization.
- Cross-Functional Collaboration: Work closely with product managers and stakeholders to translate business requirements into technical solutions.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Mathematics, Physics, or a related field.
- Experience: Minimum of 7+ years of professional experience in software engineering and machine learning architecture.
- Technical Skills: Proficiency in Python, C++, and SQL. Deep experience with Hugging Face, LangChain, or similar LLM frameworks.
- Frameworks: Strong command of TensorFlow, PyTorch, or JAX.
- Quantum Interest: Familiarity with quantum computing concepts (Qiskit, Cirq) is a significant plus.
- Cloud Expertise: Demonstrated experience deploying AI models in cloud environments.
- Soft Skills: Exceptional communication skills and a proven track record of leading technical teams.