Job Description
We are building the operating system for the year 2026. At Nebula Systems, we are not just predicting the future; we are architecting the neural pathways that will define it. We are seeking a visionary Senior AI Architect to lead the development of next-generation Generative AI systems, autonomous agents, and quantum-ready machine learning models.
In this role, you will bridge the gap between theoretical AI research and scalable production environments. You will be responsible for designing the 'brain' of our autonomous platforms, ensuring they are ethical, efficient, and capable of evolving beyond human limitations.
If you are obsessed with the intersection of deep learning, cognitive computing, and ethical AI, we want to meet you.
Responsibilities
- Architect and deploy scalable Deep Learning models capable of processing petabytes of data in real-time.
- Lead the research and implementation of Large Language Models (LLMs) tailored for enterprise autonomy.
- Optimize neural network architectures for edge computing and quantum hardware compatibility.
- Establish best practices for AI safety, fairness, and transparency across the engineering team.
- Mentor a team of brilliant machine learning engineers and data scientists.
- Collaborate with cross-functional teams to integrate AI capabilities into consumer and industrial hardware.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- Minimum of 6+ years of experience in designing and implementing production-grade AI systems.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR).
- Experience with prompt engineering and fine-tuning LLMs (e.g., GPT-4, Llama).
- Strong understanding of ethical AI principles and bias mitigation strategies.