• Design and deploy scalable architecture for AI applications, including generative systems, using Lang Graph and ensuring seamless integration of components to improve overall system performance
• Develop and refine AI and machine learning models, including graph-based models, using technologies like Large Language Model, Retrieval Augmented Generation, TensorFlow, PyTorch, and scikit learn to create intelligent systems that drive business valueCreate and iterate on a comprehensive evaluation framework for generative models, focusing on performance improvements and optimization
• Architect and implement data pipelines and automation systems to streamline data retrieval, processing, analysis, and visualization, ensuring efficient handling of batch and real time data
• Design and implement robust data storage and management systems, leveraging relational databases, NoSQL databases, and graph databases to support diverse data needs
• Extract actionable insights from manufacturing, equipment, and vehicle data to predict and prevent failures, informing proactive maintenance and quality control strategies
• Develop and integrate back-end APIs, iterating on payload and response designs to ensure seamless interaction with systems and applications, and optimizing overall system interoperability

• Bachelor's Degree in Computer Science, Information Technology, or a related field, or equivalent experience
• 3+ years of work experience in software development
• Experience with software engineering technologies, including Python, Docker, Kubernetes, MySQL, Microsoft SQL, MongoDB, Elasticsearch, Apache Kafka, and ETLs
• Experience with machine learning frameworks and technologies, including Large Language Model, Retrieval Augmented Generation, LangGraph, TensorFlow, PyTorch, scikit learn, and graph neural networks
• Strong attention to details and diligent in unit testing and integration testing practices
• Experience working in a fast-paced environment with many different projects

Tesla is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact ADA@tesla.com for ADA related questions or to request ADA accommodations.

Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice .