Job Description
We are on the cusp of a technological revolution. As a Senior AI Architect, you will lead the Project 2026 initiative, a cutting-edge mission to architect the next generation of Artificial General Intelligence (AGI) infrastructure. Our goal is to define the operational standards for the year 2026 and beyond.
At Nova Systems, we don't just predict the future; we build it. You will be responsible for designing scalable, secure, and high-performance neural networks that will power the world's most complex autonomous systems. Join us in shaping the digital landscape of tomorrow.
Responsibilities
- Design and implement scalable deep learning architectures tailored for the 2026 operational horizon.
- Lead the research and development of Large Language Models (LLMs) optimized for edge computing in remote environments.
- Collaborate with quantum computing researchers to integrate quantum algorithms into classical AI workflows.
- Define and drive the technical roadmap for the 2026 product suite, ensuring alignment with business objectives.
- Optimize neural network efficiency to handle petabyte-scale data streams with sub-millisecond latency.
- Mentor a team of talented data scientists and engineers, fostering a culture of innovation and technical excellence.
- Conduct rigorous architectural reviews and ensure compliance with industry security standards.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 7 years of experience in designing and deploying large-scale machine learning systems.
- Expert proficiency in Python, PyTorch, and TensorFlow, with a deep understanding of distributed computing frameworks.
- Proven track record of publishing research papers or leading open-source contributions in AI/ML.
- Experience with quantum computing libraries (Qiskit, Cirq) or neuromorphic hardware is a strong plus.
- Strong problem-solving skills and the ability to thrive in a fast-paced, ambiguous startup environment.
- Excellent communication skills for translating complex technical concepts to non-technical stakeholders.