Job Description
Join Aether Systems, a pioneer in predictive intelligence and quantum computing infrastructure, as we architect the foundational technologies required for the year 2026. We are seeking a visionary Senior AI & Quantum Research Engineer to lead the development of next-generation neural interfaces and scalable AI models that will define the future of human-machine collaboration.
In this role, you will bridge the gap between theoretical quantum mechanics and practical deep learning architectures. You will work on cutting-edge projects ranging from neuromorphic hardware optimization to large-scale language models capable of autonomous decision-making. If you are passionate about pushing the boundaries of what is possible in technology and want to be at the forefront of the AI revolution, we want to hear from you.
Responsibilities
- Design and implement scalable deep learning frameworks for neuromorphic computing environments.
- Collaborate with quantum physicists to develop quantum-classical hybrid algorithms for optimization problems.
- Lead the research and development of proprietary AI models, focusing on predictive analytics and autonomous agents.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
- Optimize inference pipelines for real-time processing on edge devices and quantum processors.
- Conduct rigorous testing and validation of AI models to ensure robustness and accuracy.
- Publish research findings in top-tier conferences and journals.
Qualifications
- Master’s or PhD in Computer Science, Physics, Applied Mathematics, or a related field.
- Minimum of 5 years of professional experience in machine learning, deep learning, or quantum computing.
- Strong proficiency in Python, PyTorch, TensorFlow, and C++.
- Experience with quantum computing frameworks such as Qiskit, Cirq, or PennyLane.
- Deep understanding of neural networks, transformer architectures, and reinforcement learning.
- Excellent problem-solving skills and ability to work in a fast-paced, high-stakes environment.
- Proven track record of delivering complex technical projects on time.