Job Description
Are you ready to define the landscape of Artificial General Intelligence by 2026?
Nebula Systems is at the forefront of the next technological revolution. We are building the core infrastructure for tomorrow's intelligent systems, and we are looking for a visionary Lead AI Architect to help us architect the future. This is not just a job; it is a mission to solve the hardest problems in machine learning, quantum integration, and ethical AI deployment by the year 2026.
In this high-impact role, you will lead a cross-functional team of data scientists and engineers, defining the architectural standards for our upcoming neural networks and predictive models. If you are passionate about pushing the boundaries of what is possible in technology and want to leave a legacy in the industry, we want to hear from you.
Responsibilities
- Architect Next-Gen AI: Design and implement scalable, high-performance neural network architectures tailored for the 2026 technological landscape.
- Strategic Roadmap: Lead the technical vision for our 2026 product roadmap, integrating cutting-edge advancements in Deep Learning and Autonomous Systems.
- Team Leadership: Mentor and guide a team of senior engineers and researchers, fostering a culture of innovation and technical excellence.
- System Optimization: Oversee the optimization of data pipelines and model inference to ensure real-time processing capabilities.
- Research & Development: Stay ahead of the curve by exploring emerging technologies like Neuromorphic Computing and Quantum AI integration.
- Cross-Functional Collaboration: Work closely with product managers and stakeholders to translate complex technical concepts into viable business solutions.
Qualifications
- Education: Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- Experience: Minimum of 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and research.
- Technical Stack: Proficiency in Python, TensorFlow, PyTorch, and experience with large-scale distributed systems (Kubernetes, Docker).
- Leadership: Proven track record of leading engineering teams and delivering complex projects on time.
- Future-Forward Mindset: Demonstrated ability to anticipate industry trends and adapt technical strategies accordingly.
- Communication: Exceptional verbal and written communication skills, capable of presenting complex ideas to diverse audiences.