Job Description
We are at the precipice of a technological revolution. Chronos Future Tech is seeking visionary engineers to join our elite 2026 Initiative. Our mission is to architect the neural frameworks that will define the next era of human-machine symbiosis.
In this role, you won't just write code; you will shape the destiny of autonomous systems. You will work with a team of world-class researchers to build the core intelligence that powers our global infrastructure. If you are driven by the challenge of solving humanity's greatest problems and want to be at the forefront of the singularity, we want to hear from you.
Why Join Us?
- Work on cutting-edge General Artificial Intelligence (AGI) research.
- Competitive compensation package including equity.
- Flexible remote-first policy with access to state-of-the-art labs in San Francisco.
- Opportunity to define the technical roadmap for the year 2026 and beyond.
Responsibilities
- Design and implement scalable, robust, and secure core algorithms for the 2026 autonomous infrastructure.
- Lead the architectural direction for large-scale neural networks and deep learning models.
- Oversee the training pipeline, ensuring data integrity and model optimization for production deployment.
- Mentor and guide junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Collaborate with product managers to translate complex research into deployable, high-value features.
- Conduct in-depth research to stay ahead of industry trends in AI, quantum computing, and edge devices.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
- Deep expertise in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed computing systems.
- Proven track record of leading high-performing engineering teams and delivering complex projects on time.
- Strong background in Natural Language Processing (NLP) or Computer Vision is highly preferred.
- Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.