Job Description
We are on a mission to engineer the future. Nebula Systems is seeking a visionary AI Architect 2026 to lead our next-generation artificial intelligence initiatives. If you are passionate about pushing the boundaries of machine learning and scalable infrastructure, this is your chance to define the landscape of technology for the coming decade.
In this pivotal role, you will not just adapt to the future—you will build it. You will design robust architectures for Large Language Models (LLMs), oversee deep learning pipelines, and drive innovation that impacts millions of users worldwide. We offer a competitive package, equity, and the autonomy to lead high-impact projects in a collaborative, high-performance environment.
Responsibilities
- Architect Scalable AI Solutions: Design and implement cutting-edge deep learning frameworks and neural network architectures optimized for high-scale production environments.
- Lead R&D Strategy: Spearhead research initiatives exploring emerging AI paradigms, ensuring Nebula Systems remains at the forefront of technological evolution.
- Model Optimization: Enhance model performance, accuracy, and latency through rigorous experimentation and deployment of efficient inference engines.
- Technical Leadership: Mentor a team of world-class engineers, fostering a culture of innovation, continuous learning, and technical excellence.
- Cross-Functional Collaboration: Partner with product managers, data scientists, and stakeholders to translate complex business requirements into technical roadmaps.
- Ethical AI Governance: Establish guidelines and best practices to ensure AI systems are fair, transparent, and safe for global deployment.
Qualifications
- Advanced Degree: MS or PhD in Computer Science, Mathematics, or a related technical field is strongly preferred.
- Deep Learning Expertise: Proven experience designing and deploying state-of-the-art models, specifically within the LLM or Generative AI space.
- Programming Proficiency: Mastery of Python, C++, and experience with distributed computing frameworks (e.g., PyTorch, TensorFlow, JAX).
- System Architecture: Strong background in cloud infrastructure (AWS/Azure/GCP) and containerization technologies (Docker, Kubernetes).
- Leadership Experience: 5+ years of experience leading engineering teams and managing complex technical projects from conception to delivery.
- Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver creative, scalable solutions under tight deadlines.