Job Description
We are at the forefront of defining the technological landscape for 2026. At Aether Dynamics, we are building the infrastructure for the next generation of autonomous systems and predictive AI. We are seeking a visionary Next-Gen AI Systems Architect to lead the engineering of scalable, high-performance neural networks that will power our flagship products.
In this pivotal role, you will bridge the gap between theoretical machine learning research and production-grade engineering. You will be responsible for architecting systems that are not only cutting-edge today but remain robust and adaptable for the evolving demands of the 2026 tech ecosystem. If you are passionate about the future of AI and want to leave a lasting mark on the industry, we want to hear from you.
Why Join Us?
- Work with state-of-the-art hardware and software stacks.
- Competitive compensation package and equity options.
- Flexible remote-first culture with offices in San Francisco.
- Opportunity to shape the roadmap for 2026 and beyond.
Responsibilities
- Design and architect scalable, fault-tolerant AI infrastructure optimized for 2026 workloads.
- Lead the research and implementation of advanced Machine Learning models, specifically focusing on Generative AI and Reinforcement Learning.
- Collaborate with cross-functional teams (Data Science, Product, and DevOps) to integrate AI solutions into core products.
- Optimize model performance and reduce inference latency for real-time applications.
- Establish best practices for code quality, testing, and deployment of AI models.
- Stay ahead of industry trends to ensure our architecture remains future-proof.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related field, or equivalent practical experience.
- 5+ years of experience in software engineering with a focus on Machine Learning and Artificial Intelligence.
- Deep expertise in Python, TensorFlow, PyTorch, and C++.
- Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Proven track record of deploying large-scale AI models into production environments.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.