Job Description
We are 2026 Labs, a pioneering research and development firm at the forefront of the quantum computing revolution. As we move toward the technological milestones of 2026, we are seeking a visionary Lead Quantum Artificial Intelligence Engineer to architect the next generation of cognitive systems. In this role, you will bridge the gap between theoretical quantum mechanics and practical, scalable machine learning applications, directly influencing the trajectory of our global infrastructure projects.
Why Join 2026 Labs?
- Impactful Work: Solve problems that were previously deemed impossible.
- Future-Proof Career: Be part of the infrastructure that defines the next decade of technology.
- Competitive Compensation: Industry-leading salary and equity packages.
Responsibilities
- Design and implement hybrid quantum-classical machine learning algorithms tailored for near-term quantum hardware.
- Lead the architecture of scalable data pipelines and model training frameworks.
- Collaborate with cross-functional teams of physicists, cryptographers, and software engineers.
- Optimize existing AI models for deployment on quantum processors and edge devices.
- Establish best practices for quantum software development and documentation.
- Mentor junior engineers and drive technical excellence within the AI division.
Qualifications
- Master’s or PhD in Computer Science, Physics, Applied Mathematics, or a related quantitative field.
- 5+ years of professional experience in machine learning engineering and deep learning.
- Strong proficiency in Python, TensorFlow, PyTorch, and quantum computing frameworks (Qiskit, Cirq, or Pennylane).
- Deep understanding of linear algebra, probability theory, and optimization techniques.
- Experience with cloud infrastructure (AWS, GCP) and containerization (Docker, Kubernetes).