Tesla is looking for a Sr. Distributed Systems Engineer to help build the backend microservices which interface formation software services to the broader cell manufacturing execution system (MES). Formation is a highly automated, high-volume manufacturing process and in this role, you will part of the data team responsible for managing the state of cells in the current process, gathering and processing data from thousands of fixtures, and interfacing to upstream and downstream processes via the global cell MES. In particular, you will work closely with the team to design and implement improvements to the set of microservices which manage formation in order to improve scalability, data integrity, and maintainability across multiple factories.

• Develop the critical backend service that manages formation process state and serves as the interface between the manufacturing line and the global cell manufacturing execution system
• Work closely with data/software teams to design the integration with the global cell manufacturing execution system with a focus on data consistency, data integrity, and scalability
• Work closely with process development and production teams to translate manufacturing asks into software requirements to design a system that is flexible enough for process changes (trials and ongoing improvements) yet robust enough for high-volume manufacturing
• Provide technical guidance to junior engineers to build scalable streaming data pipelines and data warehouses to process and store terabytes of manufacturing data across multiple factories
• Contribute through demonstrated leadership best-practices in code quality, software testing, and continuous deployment processes

• B.S. degree or higher in CS/CE/EE or similar engineering discipline with 3 years of experience with backend development, streaming and/or batch data pipelines, or the equivalent
• Demonstrated proficiency in Golang, Python, and SQL
• Experience building distributed backend systems and APIs (e.g. REST, gRPC), streaming data (e.g. Kafka), and working with distributed task queues (e.g. Celery)
• Experience deploying, monitoring, and maintaining production-grade distributed systems via CI/CD pipelines, Kubernetes, Docker, git, OpenTelemetry, etc.
• Strong communication and organizational skills to translate manufacturing questions into data/software requirements
• Experience with electrochemistry or high-volume manufacturing preferred