Analytics Engineer, Self-Driving
Salary
$133,440 - $292,800/annual salary
Location
Palo Alto, California
What to Expect
The Self-Driving Data and Analytics team is responsible for mining fleet data from millions of Tesla cars to improve our neural networks and creating real-time analytics to measure Self-Driving performance. This is a very high-impact role that helps the team set overall goals and priorities, but also contributes directly to those goals by sourcing high volume and high-quality data.
What You’ll Do
- Write fleet queries and Python scripts to source new datasets
- Create metrics to analyze performance of Self-Driving and specific driving events
- Visualize data and metrics using tools like Grafana (custom JavaScript is a plus)
- Create Spark jobs to support data pipelines with appropriate alerting to monitor infrastructure health
- Manage inflow rate and volume of fleet data
- Iterate with AI engineering partners on effectiveness of new datasets
- Build automation and tools to make these workflows maximally efficient
What You’ll Bring
- Bachelor's Degree in Computer Science, Engineering, Physics, Math, proof of exceptional skills in related field, or equivalent experience
- Experience with Python (Pandas, NumPy) and SQL (PostgreSQL)
- Experience with Spark, Caspian, Kafka, JavaScript, Grafana, and/or OpenSearch is a plus
- Ability to thrive in a rapidly changing environment with high ambiguity; self-starter mentality
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