Job Description
We are 2026 Dynamics, a pioneering research firm focused on defining the technological landscape of the future. We are seeking a visionary Senior Quantum AI Engineer to join our elite team in San Francisco. In this role, you will bridge the gap between cutting-edge quantum computing and practical artificial intelligence applications, helping us build systems that will operate in the year 2026 and beyond.
Why Join Us?
- Work at the forefront of technology where physics meets software engineering.
- Competitive salary and equity package for top-tier talent.
- Flexible remote-first policy with a collaborative hub in San Francisco.
- Access to state-of-the-art quantum hardware and cloud infrastructure.
Responsibilities
- Architect and deploy scalable quantum-classical hybrid machine learning models designed for future computational loads.
- Optimize quantum algorithms (Qiskit, Cirq) to run efficiently on noisy intermediate-scale quantum (NISQ) devices.
- Collaborate with cross-functional teams to integrate AI solutions into large-scale enterprise infrastructure.
- Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Conduct research to identify new quantum computing paradigms relevant to AI training and inference.
- Ensure system reliability, security, and performance across distributed quantum networks.
Qualifications
- Master’s or PhD degree in Computer Science, Physics, Mathematics, or a related quantitative field.
- Minimum of 5 years of professional experience in software engineering and machine learning.
- Proven experience with quantum computing frameworks (e.g., Qiskit, Cirq, PennyLane) and classical ML libraries (PyTorch, TensorFlow).
- Strong proficiency in Python, C++, and distributed systems architecture.
- Experience with cloud platforms (AWS, GCP, Azure) specifically for high-performance computing (HPC).
- Excellent problem-solving skills and the ability to thrive in a fast-paced, research-driven environment.