Job Description
Shape the Infrastructure of Tomorrow.
Chronos Dynamics is a pioneer in the '2026' niche of self-evolving AI infrastructure. We are seeking a visionary Autonomous Systems Engineer to build the nervous system of our global autonomous fleet. This is not just a job; it is an opportunity to define the standards for the next decade of technology.
Our team focuses on integrating deep learning with real-time edge computing to solve complex logistical challenges. You will work in a high-performance environment where innovation is the only metric that matters.
Responsibilities
- Design and deploy scalable neural network architectures for autonomous agents and drones.
- Optimize deep learning models for low-latency environments and resource-constrained edge devices.
- Collaborate with product leads to integrate safety protocols and ethical AI guidelines into core systems.
- Analyze massive datasets to improve predictive accuracy and system reliability in dynamic environments.
- Lead technical architecture reviews and mentor junior engineers in advanced ML techniques.
- Stay at the forefront of industry trends, specifically focusing on future-proofing our codebase against 2026+ standards.
Qualifications
- Master’s degree or PhD in Computer Science, Robotics, or a related technical field.
- Minimum of 5 years of experience in machine learning, software engineering, or robotics.
- Strong proficiency in Python, TensorFlow, PyTorch, and C++.
- Deep understanding of Reinforcement Learning (RL) and Computer Vision.
- Experience with cloud infrastructure (AWS, GCP) and containerization (Docker, Kubernetes).
- Exceptional problem-solving skills and ability to thrive in a fast-paced, agile environment.