November 19, 2024
Mid • On-site
$120,000 - $252,000/yr
Palo Alto, CA
Tesla’s Vehicle Engineering department is composed of thousands of the world’s best Vehicle, Battery, and Manufacturing Engineers. These engineers are responsible for the mechanical and industrial design of all major programs, for example, batteries, Optimus, Robotaxi, and all new factories. Engineering Automation Software, which is part of Vehicle Engineering, is responsible for making the tools these engineers use every bit as intelligent and dynamic as the products themselves.
As a Software Engineer on the Engineering Automation Software team, you will develop software applications that automate or streamline parts of the design process.
Build data pipelines that handle a diverse set of engineering related data from upstream sources
Design database and manage DB migrations. Integrate the data with frontend applications written in Next.js with Drizzle ORM
Manage our deployment infrastructure using custom GitHub Actions, Docker, ArgoCD, with images deployed to on-prem Kubernetes clusters
Develop and optimize robust applications through proficient use of Go and Python
Influence architectural decisions with focus on security, scalability, reliability and high-performance using tools like Prometheus, Grafana, Splunk and OpsGenie
Design and implement tools, tests, metrics, and dashboards to accelerate the development cycle of our simulations
Work closely with frontend and machine learning engineers to seamlessly integrate with backend systems
Work closely with the other Vehicle Engineering teams to design and implement backend components required for future Vehicle Engineering features and processes
Strong knowledge of at least one programming language related to data engineering, such as Python or Golang
Knowledge of Next.js and TypeScript. Experience with ORMs such as Drizzle and typesafe APIs such as tRPC is preferred
Proven experience in database management with specific proficiency in PostgreSQL, including the ability to write complex SQL statements. Familiarity with database concepts such as views and SQL functions
Experience with data processing frameworks such as Spark, Databricks, or Apache Airflow is preferred
Experience with GitHub Actions, Docker, ArgoCD, and Kubernetes is preferred
Experience with scientific computing libraries such as numpy, pandas, or scikit-learn is preferred
Experience with ElasticSearch or other scalable search systems is preferred
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
$120,000 - $252,000/annual salary + cash and stock awards + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.