Job Description
Join OmniFuture Dynamics, a leading pioneer in next-generation autonomous systems, as we architect the infrastructure for the year 2026 and beyond. We are seeking a visionary Senior AI Systems Architect to lead the design and implementation of scalable, fault-tolerant neural networks that will redefine human-machine interaction.
In this pivotal role, you will bridge the gap between theoretical machine learning breakthroughs and practical, high-performance engineering. You will work in a fast-paced, collaborative environment alongside world-class researchers and engineers to build the core brain of our autonomous logistics platform.
Why Join Us?
- Impact: Directly influence the roadmap of AI evolution.
- Equity: Competitive stock options in a high-growth unicorn.
- Environment: State-of-the-art facilities in the heart of San Francisco's innovation district.
Responsibilities
- Architectural Leadership: Design and oversee the end-to-end infrastructure for large-scale AI models, ensuring scalability, security, and real-time processing capabilities.
- System Optimization: Implement advanced optimization techniques to reduce inference latency and improve energy efficiency in edge computing environments.
- Cross-Functional Collaboration: Partner with product managers and data scientists to translate complex research concepts into robust, production-ready software architectures.
- Ethical AI Implementation: Establish and enforce architectural standards that ensure fairness, transparency, and accountability in automated decision-making systems.
- Tech Stack Management: Evaluate and integrate emerging technologies, including quantum computing interfaces and neuromorphic hardware, into existing workflows.
- Mentorship: Guide junior architects and engineers, fostering a culture of continuous learning and technical excellence.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of professional experience in software engineering and machine learning infrastructure, with at least 3 years in a senior architectural role.
- Technical Skills: Deep expertise in Python, C++, and distributed systems. Proficiency in frameworks such as PyTorch, TensorFlow, and Kubernetes.
- Specialized Knowledge: Strong understanding of Transformer architectures, LLM fine-tuning, and edge-computing constraints.
- Problem Solving: Proven track record of solving complex, ambiguous problems in high-stakes environments.
- Communication: Exceptional ability to communicate technical concepts to non-technical stakeholders and executive leadership.