Job Description
Shape the Future of Intelligence.
Aether Dynamics is on a mission to pioneer the technologies that will define the 2026 era. We are looking for a visionary Senior AI & Quantum Architect to lead our advanced research division. In this role, you will bridge the gap between classical machine learning and emerging quantum computing paradigms, building systems that solve problems previously thought impossible.
If you are a forward-thinking engineer passionate about the next frontier of technology, we want to meet you.
About the Role
As a Senior Architect, you will be responsible for designing the architectural framework for our next-generation AI solutions. You will work closely with a world-class team of physicists, data scientists, and software engineers to deploy robust algorithms that scale efficiently in hybrid cloud environments.
Why Join Us?
- Impactful Work: Contribute to projects that redefine industry standards.
- Future-Proof Career: Be at the forefront of the AI revolution.
- Top-Tier Benefits: Comprehensive health, equity packages, and continuous learning stipends.
Responsibilities
- Design Scalable AI Architectures: Architect end-to-end machine learning pipelines that integrate classical and quantum computing resources to optimize processing power.
- Lead R&D Initiatives: Spearhead research into novel algorithms, specifically focusing on NLP, Computer Vision, and Quantum Approximate Optimization (QAOA).
- System Optimization: Optimize deep learning models for latency and throughput, ensuring real-time performance in high-stakes environments.
- Talent Mentorship: Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
- Technical Strategy: Define technical roadmaps for AI infrastructure, ensuring alignment with the company's 2026 strategic goals.
- Collaboration: Partner with cross-functional teams (Product, Security, DevOps) to integrate AI solutions seamlessly into production environments.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in software engineering, machine learning, or AI research.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with quantum computing frameworks (Qiskit, Cirq, or PyQIR).
- Architecture: Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
- Problem Solving: Proven track record of solving complex, unstructured problems using advanced data analysis techniques.
- Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts for diverse audiences.