Come join the Manufacturing Test and Engineering software team and help us accelerate the world's transition to sustainable energy. As a member of our team, you will develop software for in-house designed test equipment that is responsible for ensuring the functionality of products Tesla manufactures and sells to customers, collaborating closely with other engineering disciplines, design teams, and manufacturing teams. You will play a critical role in launching and ramping up the products that Tesla makes, ensuring that the product meets all specifications to delight customers around the world. * Work in a fast-paced environment where you will have the opportunity to exercise your creative thinking skills to solve complex problems * Play a key role in all aspects of product design and validation, going beyond software development to make a meaningful impact on the company's success * Write software in Go, LabVIEW, and/or Python to thoroughly validate Tesla products on a manufacturing line, communicating with various hardware devices such as data acquisition systems, mechanical actuators, PLCs, and Tesla products over CAN, UDS, etc. * Collaborate with other engineering disciplines to design test equipment that validate product functionality, optimizing accuracy, cost, cycle time, and other performance indicators * Develop software that enables our test equipment to be easily maintainable by 24/7 production teams, and drive continuous improvements to your software. * Bring ideas and work on projects that advance our software tech stack to world-class capabilities * Travel to different facilities across the US and the world to deploy your work * Fluency in at least one object-oriented programming language * Familiarity with hardware connection protocols (e.g., CAN, UDS, gRPC, Modbus/TCP, TCP/IP, OPCUA, etc.) * Experience working in a manufacturing environment and/or with physical hardware devices * Experience working with Windows and Linux OS * Familiarity with devops and CI/CD tools (e.g., Ansible, Puppet, Chef, Jenkins, and GitHub actions) * Familiarity with data pipeline/data visualization tools (e.g., Telegraf, Kafka, and Grafana) * Familiarity with cloud development tools (e.g., Docker, Kubernetes, and Vault) * Degree in Computer Science, Computer Engineering, Mechanical Engineering, Electrical Engineering, similar degree, or equivalent experience