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Tesla Metrology Software Engineer United States, California, Fremont 36135490
16.04.2025
What You’ll Do What You’ll Bring
- Support engineers in development and deployment of innovative and scalable inline/lineside metrology systems for manufacturing lines, transitioning from proof-of-concept (offline/lab equipment) to high-volume production (inline) to enable improved battery processing, performance, quality, and cost
- Support design and implementation of data pipelines for ingesting and processing data from metrology equipment and help define a platform that is highly leveraged, multi-tenant, and self-serviced
- Support development of prototypes and scalable solutions for large language models (LLM) including selecting appropriate models, configuring hyperparameters, and optimizing models for specific tasks to support document processing and knowledge extraction
- Work closely with engineers to understand requirements, translating them to technical specifications and collaborating in developing solutions
- Provide technical guidance to end-users of the systems and solutions
- Prepare clean, maintainable, and efficient code across multiple programming languages and platforms and develop documentation to define and standardize the processes
- Participate in code reviews, testing, and deployment processes
- Conduct structured problem analysis and root cause investigations to improve system reliability and performance and investigate and resolve problems arising during integration into production process to ensure seamless interaction
- Build back-end systems from scratch that are capable of handling 100s of trillions events per day
- Degree in Computer Science, Electrical Engineering, Mechatronics Engineering, or equivalent experience
- 1+ years of experience in system design and integration
- Tech stack skills: Python, GoLang, C/C++, TCP/IP, Databases such as SQL, mongoDB, influxDB, Grafana
- Experience in design/development of APIs to communicate with services with detailed API/product requirement documentations
- Experience in design/implementation of high speed/high performance data pipelines and working with various types of data
- Knowledge of networking protocols and network architecture
- Experience with large language models (LLM/GenAI) and AI/ML frameworks and tools, fine-turning large language models, retrieval augmented generation development, PyTorch, Langchain, and building applications on top of the LLM
- Experienced in documentation development for software lifecycle, from gathering the requirements to design/implementation/testing/support
- Expertise in metrology system development and fleet management would be a big plus (e.g., semiconductor industry) including image processing, big data, and ability to perform advanced data analytics to investigate data quality issues
- Excellent communication and collaboration skills
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