Software Engineer (SDS Core - Data and Test Flywheel)

6 months ago

Sunnyvale, CA, USAMid Level / Senior

H1B Sponsor

Base Salary

$125k - $222k/yr

Responsibilities

Build and maintain large-scale ETL data processing pipelines 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 infrastructure connecting real-world test results with new model deployments.
Improve vehicle safety and performance by enabling learning from data at scale.
Mentor junior engineers and help define best practices for data-centric development.

Bachelor's or higher degree in Engineering, such as Computer Science, Electrical Engineering, or Software Engineering.
3–5 years of experience in software or data infrastructure engineering.
Expertise building and scaling data pipelines, distributed systems, or machine learning infrastructure.
Proficiency in Python and strong knowledge of data frameworks such as Spark, Airflow, and Kafka.
Experience with large-scale datasets and data-driven development cycles.
Familiarity with machine learning workflows or model training and deployment, particularly process automation.
Ability to work across data, infrastructure, and machine learning parts of the stack.
Experience with automotive, autonomous vehicle, or robotics systems is preferred.
Experience with large-scale ML platforms, highly automated ML training workflows, or data-driven model iteration loops is preferred.
Ability to move quickly, learn quickly, and mentor others.