Job Description
The Opportunity: We are seeking a visionary Lead AI Architect to spearhead our Research & Development initiatives for the year 2026. You will be at the forefront of merging advanced generative AI with next-generation quantum computing architectures. This is a high-impact role designed for those who want to define the technological landscape of the future.
About Aether Dynamics: We build the infrastructure for tomorrow's intelligence. Our mission is to create autonomous systems that optimize complex global networks. As a leader in the niche, we offer a competitive environment where innovation is not just encouraged—it is the only metric that matters.
Why Join Us?
- Work on cutting-edge projects that will define the 2026 tech roadmap.
- Competitive compensation and equity package.
- Flexible remote-first culture with a premium office in San Francisco.
- Access to state-of-the-art computing resources and research libraries.
If you are ready to architect the future, we want to hear from you.
Responsibilities
- Design and implement scalable, high-performance AI models tailored for the 2026 technological landscape.
- Lead a cross-functional team of data scientists and engineers to drive the AI roadmap.
- Collaborate with quantum computing researchers to integrate quantum algorithms into classical software stacks.
- Optimize neural network architectures for edge computing environments.
- Establish best practices for ethical AI, data privacy, and algorithmic transparency.
- Mentor junior developers and conduct code reviews to ensure engineering excellence.
- Present complex technical concepts to stakeholders and non-technical audiences.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5+ years of professional experience in software engineering and machine learning.
- Extensive experience with deep learning frameworks (TensorFlow, PyTorch, JAX) and large language models (LLMs).
- Strong proficiency in Python, C++, and cloud infrastructure (AWS, GCP, or Azure).
- Experience with quantum computing libraries (Qiskit, Cirq) is a significant plus.
- Demonstrated ability to lead technical teams and manage project lifecycles from conception to deployment.
- Exceptional problem-solving skills and a passion for innovation.