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# Sr. Software Engineer, Sensing Software

- **Company:** Tesla Motors
- **Location:** Palo Alto, CA, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon S3, JIRA, Unix, C++ (Programming Language), Continuous Integration, Database Development, Linux, Github, Python (Programming Language), PostgreSQL, Linux System Administration, NoSQL, Software Engineering, SQL Databases, Web Application Frameworks, Data Processing, ReactJS, Apache Spark, Git, Pandas, Containerization, Kubernetes, Information Technology, Deployment Automation, C++14, Data Pipelines, Docker
- **Published:** July 15, 2026
- **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/15405520?backUrl=%2Fcareer%2F15405520%2FGnss-Full-Stack-Software-Engineer-Sensing-Software-California-Palo-Alto

## About the Role

* Bachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, some related technical field, or equivalent experience
 * 2-3 years of software development experience
 * 1+ year of experience in Python with experience using Pandas DataFrames
 * Basic understanding and familiarity with modern C++ (C++20 and beyond) and Go
 * Experience with containers (such as Docker) and a production container deployment tool
 * Experience with SQL such as Postgres and NoSQL such as AWS S3
 * Experience with Linux or Unix based systems
 * Deep understanding of Git and how to use common CI tools
 * Excellent written and communications skills

## Description

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.
What You'll Do

 * Architect and develop data pipelines, dashboards, and analysis tools that aggregate data from multiple sources and frameworks
 * Containerize and deploy secure tools in a critical production environment
 * Maintain and administer key servers and VMs to ensure high uptime of critical tools
 * Contribute to existing frameworks and repositories to collect, pipe, and aggregate sensor data


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