What to Expect
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.
What You’ll Do
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, optimize accuracy, cost, cycle time, and other performance indicators
Develop software that enables our test equipment to be easily maintainable by production teams
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 automated manufacturing solutions
What You’ll Bring
Fluency in at least one object oriented programming language
Familiarity with hardware connection protocols such as CAN, UDS, gRPC, Modbus/TCP, TCP/IP, OPCUA, etc
Experience working in a manufacturing environment and/or with physical hardware devices
Experience working with Linux OS
Familiarity with devops and CI/CD tools such as Ansible, Puppet, Chef, Jenkins, and GitHub actions
Familiarity with data pipeline/data visualization tools such as Telegraf, Kafka, and Grafana
Familiarity with cloud development tools such as Docker, Kubernetes, and Vault
Bachelor's or Master's degree in Computer Science, Computer Engineering, Mechanical Engineering, Electrical Engineering, similar degree, or equivalent experience
Whatsapp
