Data & ML Pipeline Software Engineer

Responsibilities

• Build and maintain large-scale data processing pipelines (ETL) for ingesting and curating 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 across iterations.
• Develop the core infrastructure that closes the loop between real-world test results and new model deployments.
• Use engineering expertise to help vehicles learn from data at scale, improving safety and performance.
• Mentor junior engineers and contribute to defining 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 of experience in software or data infrastructure engineering.
• Expertise in building and scaling data pipelines, distributed systems, or ML infrastructure.
• Proficiency in Python and strong knowledge of data frameworks (Spark, Airflow, Kafka, etc.).
• Experience working with large-scale datasets and understanding data-driven development cycles.
• Familiarity with machine learning workflows or model training/deployment, especially automation of those processes.
• Strong systems thinking and ability to work across multiple parts of the stack (data, infra, and ML).
• Interest in seeing the direct impact of infrastructure work on vehicle performance.

Nice to Have

• Experience with automotive (AV) or robotics systems.
• Previous work on ML platforms for large-scale products (e.g., Ads, Recommendation, or Autonomy pipelines).
• Experience with highly automated ML training workflows.
• Prior contributions to systems that connect data-driven model iteration loops ("data flywheel").
• Ability to move fast, learn quickly, and mentor others while growing with the team.

Compensation

• Base salary range: $125,000 - $222,000 USD annually.
• Equity, comprehensive health/dental/vision/life/disability insurance, 401k with employer match, learning/wellness stipends, paid time off.