Job Description
Are you ready to engineer the future? Chronos AI Labs is at the forefront of the next industrial revolution, and we are seeking a visionary Senior AI Architect to lead the Project 2026 initiative.
Project 2026 is our ambitious roadmap to build the world's first cognitive operating system for autonomous logistics. As an Architect, you won't just write code; you will define the mathematical and architectural foundation that powers the intelligence of tomorrow. If you are passionate about pushing the boundaries of Deep Learning, Quantum-Ready Neural Networks, and scalable distributed systems, this is your opportunity to leave a lasting legacy.
Why Join Us?
- Work on cutting-edge technology that will define the next decade.
- Competitive compensation package and equity opportunities.
- Flexible remote-first policy with a hub in San Francisco.
- Access to top-tier hardware and research facilities.
Responsibilities
- Design and implement the core architecture for Project 2026’s generative AI models and autonomous decision-making frameworks.
- Oversee the end-to-end lifecycle of AI model development, from research and prototyping to deployment and production monitoring.
- Collaborate with cross-functional teams (Data Science, DevOps, Product) to integrate complex AI solutions into robust software ecosystems.
- Ensure system scalability, reliability, and security for high-traffic, mission-critical applications.
- Mentor and lead a team of talented engineers, fostering a culture of innovation and technical excellence.
- Stay ahead of industry trends to incorporate emerging technologies (e.g., neuromorphic computing) into our roadmap.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
- 7+ years of professional experience in designing and deploying large-scale machine learning systems.
- Deep expertise in Deep Learning frameworks (PyTorch, TensorFlow, JAX) and GPU acceleration (CUDA).
- Strong proficiency in Python, C++, and distributed system design principles.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Demonstrated ability to lead technical strategy and make high-impact architectural decisions.