Senior Data Engineer

Los Altos, CA

Open 6 months, first seen by us 203 days ago

Pay: $180,000–258,750/yearLocation-specific pay — pay source
Please include links to any relevant open-source contributions or technical project write-ups with your application. 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. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.
Read the full posting
Work setting: Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting
Employment: Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

Design and build scalable ingestion and retrieval pipelines for vehicle fleet and simulation data
Build internal tools for data labeling, curation, indexing and cataloging
Design schemas and APIs for model training, evaluation and debugging with ML researchers
Develop and maintain feature stores, metadata systems and versioning infrastructure
Support synthetic dataset generation and integration with real-world logs

From the employer’s posting

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.

Support the generation and integration of synthetic datasets with real-world logs to enable hybrid training and simulation workflows.

What you’ll bring

All qualifications

Core experience

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
Experience in AD/ADAS, robotics, or autonomous systems — especially handling perception or planning datasets.
8+ years of experience building data-intensive software systems, ideally in robotics, autonomous driving, or large-scale ML environments.
Familiarity with ML pipeline orchestration frameworks (e.g.
Proficient in Python, SQL, and familiar with C++.
Experience working with temporal or spatial data, including geospatial indexing and time-series alignment.

Qualification wording

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

Experience in AD/ADAS, robotics, or autonomous systems — especially handling perception or planning datasets.

8+ years of experience building data-intensive software systems, ideally in robotics, autonomous driving, or large-scale ML environments.

Familiarity with ML pipeline orchestration frameworks (e.g. Kubeflow, SageMaker, etc).

Proficient in Python, SQL, and familiar with C++.

Experience working with temporal or spatial data, including geospatial indexing and time-series alignment.

Education & alternatives

Qualifications - 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.

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Posting record

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Open 6 monthsWe first saw this posting 203 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Apr 15, 2026203 days ago
Recorded sightings: 134
Last seen by us: Nov 4, 2026
Employer says posted: Aug 4, 2025

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 203

Up longer than most. Similar jobs usually come down between day 5 and day 54.

From 10,733 similar postings that came down. Coming down is not always a hire.

Tootsie Roll Industries is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

C++
Python
SQL
AWS
S3
SageMaker
Spark
GCP

Where the posting names them

- 8+ years of experience building data-intensive software systems, ideally in robotics, autonomous driving, or large-scale ML environments. - Proficient in Python, SQL, and familiar with C++. - Experience designing ETL pipelines using modern frameworks (e.g., Apache Spark, Flyte, Union).

- 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. ROS2bag, MCAP).

- 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.

- Proficient in Python, SQL, and familiar with C++. - 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)

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

At Toyota Research Institute (TRI), we’re on a mission to improve the quality of human life. We’re developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we’ve built a world-class team advancing the state of the art in AI, robotics, driving, and material sciences.

The Automated Driving Advanced Development division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared commitment. This new division is leading a new cross-organizational project between TRI and Woven by Toyota to conduct research and develop a fully end-to-end learned driving stack. This cross-org collaborative project is harmonious with TRI’s robotics divisions' efforts in Diffusion Policy and Large Behavior Models.

We are looking for a Senior Data Engineer to design and build the foundational data infrastructure and tools that power our autonomy research and development workflows. 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.

Responsibilities

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.
Support the generation and integration of synthetic datasets with real-world logs to enable hybrid training and simulation workflows.
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.

Qualifications

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.
Proficient in Python, SQL, and familiar with C++.
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. 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.

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. Base pay offered will depend on multiple individualized factors, including, but not limited to, a candidate's experience, skills, job-related knowledge, and market location. TRI offers a generous benefits package including medical, dental, and vision insurance, 401(k) eligibility, paid time off benefits (including vacation, sick time, and parental leave), and an annual cash bonus structure. Additional details regarding these benefit plans will be provided if an employee receives an offer of employment.

Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information.

TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant’s race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment.

Employment type

Full-time

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