Job Description
The Future is Calling.
We are Aether Dynamics, a premier research lab pioneering the convergence of Artificial Intelligence and Quantum Computing. As we prepare for our Vision 2026 rollout, we are seeking a visionary Senior AI & Quantum Research Engineer to architect the next generation of computational intelligence.
In this role, you won't just be writing code; you will be defining the protocols that will power the world's most advanced autonomous systems. If you are passionate about breaking the barriers of classical computing and want to be at the forefront of the 2026 technological revolution, this is your opportunity to shape the future.
Why Join Us?
- Impact: Work on projects that redefine the boundaries of human-machine interaction.
- Equity: Competitive stock options in a pre-IPO scale-up environment.
- Flexibility: Hybrid work model based in our Austin, TX hub.
Responsibilities
- Architect Quantum-AI Solutions: Design and implement hybrid quantum-classical algorithms capable of solving complex optimization problems in real-time.
- Research Leadership: Lead high-impact research initiatives aligned with the 2026 strategic roadmap, publishing findings in top-tier conferences (NeurIPS, ICML).
- Model Training & Optimization: Fine-tune Large Language Models (LLMs) to function efficiently on near-term quantum processors.
- Prototype Development: Build and deploy proof-of-concept prototypes that bridge the gap between theoretical physics and applied software engineering.
- Collaboration: Partner with cross-functional teams including hardware engineers, data scientists, and product managers to translate research into market-ready products.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Information Science.
- Technical Expertise: Proficiency in Python, C++, and Rust. Experience with quantum computing frameworks such as Qiskit, Cirq, or PyQuil.
- AI Proficiency: Deep understanding of Machine Learning architectures, specifically Transformers and Generative Adversarial Networks (GANs).
- Experience: Minimum of 5 years of industry experience in AI/ML research or development.
- Problem Solving: Demonstrated ability to tackle ambiguous problems and derive innovative solutions for unstructured data environments.