Builds large-scale data platforms for AI and autonomy, processing petabytes of sensor data using distributed systems like Kafka and Spark. Requires 2+ years backend experience and bachelor's in CS.
153k – 222k/yr
On-site2+ YOEBackend Engineering
About the role
Responsibilities
Design and build large-scale data platforms to support AI research and autonomy stack development, handling petabytes of multimodal sensor data from real-world driving scenarios.
Work on data curation and tagging platforms that enable efficient dataset discovery, labeling workflows, and quality assessment across diverse driving conditions.
Build high-performance data processing systems using modern distributed computing frameworks to transform raw sensor data into training-ready formats.
Requirements
Bachelor's degree in Computer Science, Software Engineering, or equivalent.
2+ years of professional experience.
Strong backend engineering experience.
Problem-solving skills and experience working with cross-functional teams in fast-paced environments.
Nice to Have
Hands-on experience with modern data stack technologies including Apache Spark, Hudi, Trino, Kafka, or similar distributed data processing frameworks.
Knowledge of data lake architectures, streaming systems, and workflow orchestration platforms like Flyte.
Compensation
Base salary range: $153,000 - $222,000 USD annually.
Equity, comprehensive health/dental/vision/life/disability insurance, 401k with employer match, learning/wellness stipends, paid time off.
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