Job Description
We are on the precipice of a new era in computing. Aether Dynamics is building the foundational infrastructure for the year 2026 and beyond. We are seeking a visionary Senior Quantum AI Architect to lead our elite R&D division, bridging the gap between classical machine learning and next-generation quantum computing.
In this high-impact role, you won't just be writing code; you will be architecting the neural networks of tomorrow. You will work directly with our quantum hardware engineering team to develop algorithms that solve complex problems currently deemed unsolvable by classical computers. If you are a thought leader passionate about the future of technology and want to leave a legacy in the tech landscape, this is your opportunity.
Why Join Us?
- Work on the bleeding edge of Project 2026.
- Competitive compensation and equity packages.
- Remote-first culture with a hub in San Francisco.
Responsibilities
- Architect Quantum Algorithms: Design and implement advanced quantum machine learning models tailored for our proprietary quantum processors.
- Hybrid System Integration: Bridge the gap between quantum computing environments and classical data pipelines to optimize processing efficiency.
- R&D Leadership: Conduct cutting-edge research in quantum error correction and variational quantum eigensolvers (VQE).
- Team Mentorship: Lead a team of junior researchers and engineers, fostering a culture of innovation and technical excellence.
- Strategic Planning: Define the technical roadmap for Project 2026, ensuring alignment with long-term business objectives.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Physics, Applied Mathematics, or a related field with a focus on Quantum Information Science.
- Experience: Minimum of 8+ years of experience in AI/ML engineering, with a proven track record of leading complex technical projects.
- Technical Skills: Proficiency in quantum programming languages (Qiskit, Cirq, or PyQuil) and experience with cloud-based quantum platforms (IBM Q Experience, Amazon Braket).
- Core Expertise: Deep understanding of linear algebra, probability theory, and optimization algorithms.
- Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.