Job Description
We are pioneering the next generation of intelligent systems. As a Future AI Systems Architect, you will be responsible for designing and implementing the infrastructure that will define the year 2026 and beyond. You will bridge the gap between theoretical quantum computing advancements and practical, scalable deep learning models.
Why Join Us?
We are a top-tier research lab focused on Artificial General Intelligence (AGI). You will work with world-class engineers and futurists to solve the most complex problems in compute efficiency and neural network scalability.
Responsibilities
- Architect scalable neural network frameworks capable of handling exabyte-scale data streams.
- Collaborate with quantum physics researchers to integrate quantum algorithms into classical AI pipelines.
- Define the technical roadmap for autonomous agent deployment by 2026.
- Optimize model inference speeds to ensure real-time decision-making capabilities.
- Establish ethical guidelines and safety protocols for sentient machine interactions.
- Lead a cross-functional team of data scientists, ML engineers, and hardware specialists.
Qualifications
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field with a focus on theoretical computation.
- Minimum of 8 years of experience in designing large-scale machine learning systems.
- Proficiency in Python, C++, and Rust with deep knowledge of PyTorch or TensorFlow.
- Experience with quantum computing libraries (Qiskit, Cirq) is highly desirable.
- Strong background in distributed systems and cloud architecture (AWS, GCP, Azure).
- Proven track record of leading high-performance engineering teams in fast-paced environments.