Tri Source International

Senior Data Engineer

Los Altos, CA · Senior

Sponsorship not specifiedDetected 352 days ago

PythonCode ReviewSQLAWSGCPCloud PlatformsCI/CDMachine LearningSparkData EngineeringAI OrchestrationRoboticsSensorsResearchCollaboration

About the role

We achieve this through partnership, collaboration, and shared commitment.
This includes large-scale ingestion pipelines, structured feature stores, labeling infrastructure, scene search and data discovery tools, and performance diagnostics for machine learning and simulation workflows.

Design and implement scalable, production-grade pipelines for data ingestion, transformation, storage, and retrieval from vehicle fleets and simulation environments.
Build internal tools and services for data labeling, curation, indexing, and cataloging across large and diverse datasets.
Collaborate with ML researchers, autonomy engineers, and data scientists to design schemas and APIs that power model training, evaluation, and debugging.
Develop and maintain feature stores, metadata systems, and versioning infrastructure for structured and unstructured data.
Optimize pipelines for cost, latency, and traceability, ensuring reproducibility and consistency across environments.
Partner with simulation and cloud platform teams to automate workflows for closed-loop testing, scenario mining, and performance analytics.

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
8+ years of experience building data-intensive software systems, ideally in robotics, autonomous driving, or large-scale ML environments.
Experience designing ETL pipelines using modern frameworks (e.g., Apache Spark, Flyte, Union).
Strong knowledge of cloud-native architectures, including AWS services (e.g., S3, or equivalents (Google Cloud platform)
Familiarity with sensor data types (camera, lidar, radar, GPS/IMU) and common data serialization formats (e.g., protobuf.
Proficient in Python, SQL, and familiar with C++.
Familiarity with sensor data types (camera, lidar, radar, GPS/IMU) and common data serialization formats (e.g., protobuf. ROS2bag, MCAP).
Deep understanding of data quality, observability, and lineage in high-volume systems.
Track record of building reliable and performant infrastructure that supports both ad-hoc exploration and repeatable production workflows.
Bonus Qualifications

Experience in AD/ADAS, robotics, or autonomous systems - especially handling perception or planning datasets.
Familiarity with ML pipeline orchestration frameworks (e.g. Kubeflow, SageMaker, etc).
Experience working with temporal or spatial data, including geospatial indexing and time-series alignment.
Exposure to synthetic data generation, simulation logging, or scenario replay pipelines.
Strong software engineering fundamentals, CI/CD, testing, code review, and service deployment best practices.
Experience collaborating with cross-functional, distributed teams across research and production orgs.
Please include links to any relevant open-source contributions or technical project write-ups with your application.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.

This cross-org collaborative project is harmonious with TRI's robotics divisions' efforts in Diffusion Policy and Large Behavior Models.

The pay range for this position at commencement of employment is expected to be between $180,000 and $258,750/year for California-based roles.

This listing is sourced directly from Tri Source International's careers page and normalized into a canonical job model.