
The Tesla Sensing Team is looking for a Full Stack Software Engineer with specific expertise in data processing, data pipelines, analysis, visualization, and infrastructure/deployment. The candidate will be responsible for architecting, developing, and deploying high-quality visualization and analysis tools that aggerate data from multiple external sources and frameworks. These tools will be used across the organization to assess the performance of Tesla sensors, both for engineering development and for monitoring the performance of production systems.
The candidate should have a strong software engineering background which includes deep practical experience with Python, Pandas DataFrames, database development and deployment (SQL and NoSQL), web development frameworks such as React, and cluster tools such as Spark. The candidate must be able to architect robust and flexible data pipelines across disparate interfaces and frameworks to aggregate sensor data for monitoring and analysis. The candidate should have experience with container tools such as Docker and modern deployment tools such as Kubernetes. Additionally, experience with Linux and Linux administration is considered highly favorable.
The candidate must be comfortable writing, modifying, and building modern C++ and Go code. This is to effectively interface with and leverage existing internal tools and frameworks. Additionally, the candidate is expected to be comfortable with standard Software Engineering tools such as Git, GitHub, JIRA, etc.
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
Expected Compensation
$120,000 - $300,000/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.

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