Woven
Senior Software Engineer - Sim/Val
Woven, Palo Alto, California, United States, 94306
Palo Alto, CA / Product & Technology - AD/ADAS / Employee / hybrid
Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society.
Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being.
TEAM
On the Simulation Data and Analysis team, you'll be responsible for developing the metrics and evaluation frameworks that assess the quality of our autonomy and validation stacks. These insights will improve both the autonomy system and the core simulation platform, contributing to the future of mobility.
Our work spans globally, with collaboration across teams between North America, Japan, and London. As part of this highly collaborative environment, your contributions will have a real-world impact, improving both the autonomy system and the core simulation platform that drives our future mobility solutions.
WHO ARE WE LOOKING FOR?
We’re seeking a Senior Data Engineer who can elevate our data engineering practices, enhancing our existing pipelines and driving the transition to a more scalable and centralized architecture. You’ll play a critical role in advancing how data is stored, processed, and transformed to support diverse use cases across our products.
You’ll bring both a deep technical skill set and an innovative mindset, adding a new dimension to our team's capabilities. We’re looking for someone who can think strategically while diving deep into execution.
RESPONSIBILITIES
Design
and implement scalable data pipelines that support the processing and storage of evaluation metrics, enabling both large-scale simulation testing and focused, small-scale scenario evaluations. Optimize
and expand our existing data storage strategy, working towards a more unified architecture while ensuring flexibility for specialized, queryable structures. Collaborate
with our team of engineers to ensure the effective integration of our evaluation framework with other products, ensuring seamless data flow from simulation outputs to end-user dashboards. Support
data science initiatives by architecting solutions that enable efficient and scalable data processing, allowing for exploratory analysis and model development. Stay current
with evolving technologies in data engineering, ensuring that our data infrastructure remains modern and capable of supporting future products. MINIMUM QUALIFICATIONS 5+ years of experience in data engineering, focusing on building and scaling ETL pipelines. Proven experience with data storage solutions like DynamoDB, SQL databases, and experience designing data lakes or data warehouse architectures. Strong programming skills, with a focus on Python and experience in building scalable backend systems using FastAPI or similar frameworks. Hands-on experience with AWS services, particularly Lambda, Step Functions, and other serverless computing technologies. Experience with designing systems that support data science workflows and complex querying patterns. NICE TO HAVES Experience working with Flyte or similar workflow engines. Familiarity with simulation-based evaluation frameworks, particularly in autonomous driving or similar domains. Strong communication skills and the ability to work cross-functionally with teams of engineers, data scientists, and product managers. A passion for working on cutting-edge technologies that are driving the future of mobility. $140,000- $230,000 a year. Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The California pay scale for this full time position is $140,000- $230,000. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level. WHAT WE OFFER We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility. ・Excellent health, wellness, dental and vision coverage ・Family planning and care benefits Our Commitment ・We are an equal opportunity employer and value diversity. ・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
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and implement scalable data pipelines that support the processing and storage of evaluation metrics, enabling both large-scale simulation testing and focused, small-scale scenario evaluations. Optimize
and expand our existing data storage strategy, working towards a more unified architecture while ensuring flexibility for specialized, queryable structures. Collaborate
with our team of engineers to ensure the effective integration of our evaluation framework with other products, ensuring seamless data flow from simulation outputs to end-user dashboards. Support
data science initiatives by architecting solutions that enable efficient and scalable data processing, allowing for exploratory analysis and model development. Stay current
with evolving technologies in data engineering, ensuring that our data infrastructure remains modern and capable of supporting future products. MINIMUM QUALIFICATIONS 5+ years of experience in data engineering, focusing on building and scaling ETL pipelines. Proven experience with data storage solutions like DynamoDB, SQL databases, and experience designing data lakes or data warehouse architectures. Strong programming skills, with a focus on Python and experience in building scalable backend systems using FastAPI or similar frameworks. Hands-on experience with AWS services, particularly Lambda, Step Functions, and other serverless computing technologies. Experience with designing systems that support data science workflows and complex querying patterns. NICE TO HAVES Experience working with Flyte or similar workflow engines. Familiarity with simulation-based evaluation frameworks, particularly in autonomous driving or similar domains. Strong communication skills and the ability to work cross-functionally with teams of engineers, data scientists, and product managers. A passion for working on cutting-edge technologies that are driving the future of mobility. $140,000- $230,000 a year. Your base salary is one part of your total compensation. We offer a base salary, short term and long term incentives, and a comprehensive benefits package. The California pay scale for this full time position is $140,000- $230,000. The total compensation offered to an employee will be dependent upon the individual's skills, experience, qualifications, location, and level. WHAT WE OFFER We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility. ・Excellent health, wellness, dental and vision coverage ・Family planning and care benefits Our Commitment ・We are an equal opportunity employer and value diversity. ・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
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