Job Description
Nexus Dynamics is pioneering the future of autonomous logistics with Project 2026, our flagship initiative to revolutionize the supply chain through advanced AI and robotics. We are looking for a visionary Senior AI Architect to define the technical backbone of our next-generation autonomous fleet systems.
In this pivotal role, you will lead the architectural design of neural networks, decision-making algorithms, and real-time data processing pipelines. You will bridge the gap between theoretical research and practical engineering, ensuring our systems are not only cutting-edge but also scalable, secure, and compliant with the highest industry standards.
Join us in building the technology that will define the landscape of 2026 and beyond.
Responsibilities
- Architect and design the core neural network infrastructure for autonomous vehicle fleets and smart warehousing systems.
- Lead a cross-functional team of machine learning engineers, data scientists, and hardware specialists to drive project delivery.
- Define technical standards, coding guidelines, and best practices for the Project 2026 platform.
- Conduct rigorous performance analysis, optimization, and model validation in simulation environments.
- Ensure system scalability, fault tolerance, and security across distributed edge computing nodes.
- Collaborate with product managers and regulatory affairs teams to ensure compliance with emerging AI safety standards.
- Drive innovation by researching and integrating breakthroughs in Generative AI and Reinforcement Learning.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field (10+ years of experience).
- Proven track record of leading AI architecture for large-scale, production-critical systems.
- Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
- Deep understanding of Reinforcement Learning, Computer Vision, and Natural Language Processing.
- Strong leadership skills with a history of mentoring high-performing engineering teams.
- Excellent problem-solving skills with the ability to navigate ambiguity in fast-paced, startup environments.
- Willingness to travel occasionally to our R&D facilities and partner sites.