Job Description
We are pioneering the next era of computational intelligence. As we gear up for the 2026 launch of our flagship quantum-integrated platform, we are seeking a visionary Lead Quantum AI Architect to design the neural frameworks of tomorrow. You will be at the forefront of merging Generative AI with quantum computing architectures, ensuring our systems are scalable, secure, and revolutionary.
Why Join Us?
At Aether Dynamics, we don't just predict the future; we build it. You will work in a state-of-the-art environment with top-tier researchers and engineers, pushing the boundaries of what is possible in software engineering and artificial intelligence.
Responsibilities
- Architect Neural Systems: Design and implement scalable, high-performance AI architectures optimized for future quantum processors.
- Quantum Integration: Bridge the gap between classical machine learning models and quantum hardware interfaces to maximize computational efficiency.
- Algorithm Development: Pioneering new algorithms that leverage quantum superposition for real-time data processing and generative tasks.
- Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Strategic Roadmap: Define the technical roadmap for AI systems, ensuring alignment with the company's 2026 strategic goals.
- R&D Collaboration: Partner with our quantum physics research division to translate theoretical breakthroughs into practical software applications.
Qualifications
- Education: Master’s or PhD degree in Computer Science, Physics, Mathematics, or a related field with a focus on AI or Quantum Mechanics.
- Experience: 7+ years of experience in software engineering and machine learning, with at least 3 years in a lead or architect role.
- Technical Stack: Deep expertise in Python, C++, PyTorch, TensorFlow, and quantum computing frameworks (e.g., Qiskit, Cirq).
- Problem Solving: Proven track record of solving complex, large-scale problems in distributed systems and high-performance computing.
- Leadership: Demonstrated ability to lead cross-functional teams and manage technical projects from conception to deployment.
- Communication: Exceptional verbal and written communication skills, capable of translating complex technical concepts for diverse audiences.