Software Engineer (SDS Core - Data and Test Flywheel)

📋 Description

• Build and maintain large-scale data processing pipelines (ETL) for driving datasets.
• Design and implement systems that automate data selection, labeling, training, and testing loops.
• Collaborate with modeling teams to improve training efficiency and model performance.
• Develop infrastructure that closes the loop between real-world results and new model deployments.
• Apply engineering expertise to help vehicles learn from data at scale, improving safety.
• Mentor junior engineers and define best practices for data-centric development.

🎯 Requirements

• Bachelor's or higher degree in Engineering such as Computer Science, Electrical Engineering, Software Engineering
• 3–5 years in software or data infrastructure engineering
• Expertise in building and scaling data pipelines, distributed systems, or ML infrastructure
• Proficiency in Python and data frameworks (Spark, Airflow, Kafka, etc.)
• Experience with large-scale datasets and data-driven development cycles
• Familiarity with ML workflows or model training/deployment, especially automation

🎁 Benefits

• Health, dental, vision, life and disability insurance
• 401k with employer match
• Learning and wellness stipends
• Paid time off