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# Sr. Software Engineer, Manufacturing Quality

- **Company:** Tesla Motors
- **Location:** Fremont, CA, United States
- **Experience:** Expert
- **Salary:** $168,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Artificial Neural Networks, Unit Testing, Extract Transform Load (ETL), Data Retrieval, Relational Databases, Elasticsearch, Graph Database, Python (Programming Language), Microsoft SQL Server, MongoDB, MySQL, NoSQL, Tensorflow, Software Engineering, Data Storage Technologies, Pytorch, Scikit Learn, Integration Tests, Kubernetes, Information Technology, Real Time Data, Apache Kafka, Data Pipelines, Docker
- **Published:** September 5, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/85703002/1

## About the Role

* 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

## Description

* Design and deploy scalable architecture for AI applications, including generative systems, using LangGraph 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


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