Senior Software Engineer, Motion Planning, Autonomy

Rivian

Palo Alto, CA, United States

17 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Artificial Intelligence Cloud Computing Software Quality Code Review Data Distribution Service Data Infrastructure Data Mining Distributed Computing Environment Experimental Data Python (Programming Language) Machine Learning Motion Planning

+6 more

SQL Databases Apache Spark Model Validation Information Technology Data Analytics Data Pipelines

Job description

Develop and maintain scalable data mining pipelines to extract rare and critical driving scenarios from massive fleet datasets.
Lead the curation and analysis of large-scale training sets to improve the robustness and generalization of the LDM.
Design and implement rigorous evaluation frameworks to measure model performance against real-world baselines.
Provide technical guidance and code reviews for junior and mid-level engineers, ensuring high standards for code quality and system design.
Partner closely with modeling engineers to define data requirements and iterate on rapid experimental loops.
Identify trends, anomalies, and data distribution shifts that impact model training and validation.
Contribute to the design of data infrastructure, making informed decisions on tradeoffs between data quality, scale, and compute efficiency.
Transition experimental data strategies

Requirements

B.S. or M.S. in Computer Science, Data Science, Robotics, Engineering, or a related field.
3+ years of experience as a Software Engineer, Data Analytics Engineer, Machine Learning Engineer, or Motion Planning Engineer.
Advanced proficiency in Python and SQL is required, with a proven track record of building production-grade data products.
Hands-on experience with distributed data processing frameworks (e.g., Spark, Ray) and cloud infrastructure.
Solid understanding of data-centric AI, dataset curation strategies, and model evaluation methodologies.
Experience handling large-scale sensor data or complex robotics telemetry.
Demonstrated ability to work autonomously, taking projects from a vague concept to a verified, high performing product.
Strong ability to communicate technical trade-offs and collaborate effectively within a fast-paced team environment.