Job Description
We are seeking a visionary Senior AI & Quantum Architect to join Aether Dynamics and help define the technological landscape for the year 2026. In this role, you will bridge the gap between classical artificial intelligence and emerging quantum computing paradigms, building scalable systems that solve complex problems.
Our mission is to revolutionize industries through autonomous systems and quantum-optimized algorithms. If you are passionate about the future of technology and want to lead high-impact projects, we want to hear from you.
Responsibilities
- Lead Architectural Design: Spearhead the design and implementation of next-generation AI architectures integrated with quantum processing units (QPUs).
- Roadmap Strategy: Define and execute the 2026 technology roadmap, identifying emerging trends in AI and quantum computing to maintain a competitive edge.
- System Optimization: Optimize large-scale data pipelines and machine learning models to ensure high performance and low latency in distributed environments.
- Talent Development: Mentor a team of junior engineers and data scientists, fostering a culture of innovation and continuous learning.
- Cross-Functional Collaboration: Work closely with product managers, researchers, and stakeholders to translate complex technical requirements into actionable solutions.
- R&D Integration: Stay ahead of the curve by researching and prototyping cutting-edge algorithms and hardware-software integration techniques.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Quantum Physics, or a related technical field.
- Experience: 8+ years of experience in software engineering, machine learning, or computational research, with at least 3 years in a leadership or architectural role.
- Technical Skills: Deep proficiency in Python, C++, and CUDA; hands-on experience with quantum computing frameworks such as Qiskit, Cirq, or PennyLane.
- AI Expertise: Strong background in classical ML frameworks (TensorFlow, PyTorch) and experience deploying models in production environments.
- Problem Solving: Exceptional ability to troubleshoot complex system failures and devise innovative engineering solutions.
- Communication: Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical audiences.