Spino Inc
AV Safety Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AV Safety Data Engineer on a long-term contract in Foster City, CA, offering $80.00 - $85.00 per hour. Requires a Master's degree, 6-8 years in safety-critical AV systems, strong Python/SQL skills, and familiarity with ISO 26262.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
680
-
🗓️ - Date
October 4, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Foster City, CA 94404
-
🧠 - Skills detailed
#Data Pipeline #Python #Data Engineering #Compliance #Mathematics #Programming #Documentation #SQL (Structured Query Language) #Computer Science #Looker #Data Analysis #Strategy #Databricks #Statistics #Spark (Apache Spark) #Deployment #Datasets #Data Wrangling #Data Science #Data Processing #ML (Machine Learning) #Scala #BI (Business Intelligence)
Role description
AV Safety Data Engineer
Long Term Contract
Foster City, CA - Onsite
The Safety Strategy & Operations team is responsible for developing and implementing safety processes from comprehensive safety planning and risk management to operational safety in the field, data analysis, and regulatory reporting, ensuring client's autonomous vehicles operate safely and meet all federal and state compliance requirements. This role will be pivotal in evaluating and improving the behavioural safety and hardware performance of our autonomous vehicles by leveraging fleet and simulation data. We analyze fleet data to identify critical safety events, evaluate system behaviour, and refine strategies that directly influence how our vehicles behave in complex environments.
As an AV Safety Data Engineer, you will play a critical role in developing and maintaining robust data infrastructure to surface safety-relevant interactions, assess AV events, and inform autonomy development through data-driven insights. You will build scalable pipelines and metrics that ensure we receive strong, reliable signals from data, directly influencing how we assess system readiness and accelerate safe deployment, while also supporting the crucial task of event triage and analysis.
In this role you will:
· Develop and maintain miners that identify events of interest from fleet and simulation data.
· Improve the accuracy and efficiency of existing miners through advanced statistical and ML techniques, ensuring high signal quality.
· Build scalable data pipelines and dashboards to monitor miner performance, signal quality, and key safety metrics.
· Conduct exploratory data analyses to uncover trends, failure modes, and opportunities to improve vehicle behaviour, specifically focusing on critical safety events and system anomalies.
· Triage and assess AV events including both system behaviour and hardware related anomalies, for potential safety/legal/regulatory concerns or system gaps, using contextual judgment grounded in safety, legal, and engineering principles.
· Develop and maintain clear triage guidelines and criteria for both onshore and offshore triage teams.
· Support regulatory reporting processes by providing data and analysis as needed.
Qualifications
· Master’s Degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative or Engineering field such as Transportation Engineering, Systems Engineering, Civil Engineering, Mechanical Engineering, or Electrical Engineering.
· 6-8 years of experience working with safety-critical systems in AV, Automotive, Transportation Engineering, or a closely related industry.
· Strong programming skills in Python and SQL.
· Experience with large datasets and distributed data processing frameworks (e.g., Spark, Databricks).
· Strong data engineering skills, including data wrangling and expertise in building maintainable, scalable, and efficient data pipelines.
· Familiarity with statistics and probability, and experience with sampling and estimation methodologies.
· Experience with business intelligence tools (e.g., Looker) to support analysis.
· Familiarity with ISO 26262 or other functional safety standards
· Proven ability to design metrics, run analyses, and translate findings into actionable recommendations.
· Strong understanding of behavioural safety concepts and the ability to interpret vehicle behaviour in real-world contexts, along with knowledge of AV requirements, road user behaviour, and traffic regulations.
· Experience working with cross-functional teams and clearly communicating technical content to both engineering and non-technical audiences.
· Strong organizational skills with attention to detail, especially in process development and documentation related to data pipelines and safety analysis.
Job Type: Contract
Pay: $80.00 - $85.00 per hour
Expected hours: 40 per week
Application Question(s):
Client is looking only for Autonomous Vehicle Industry experience candidates only.
Experience:
Safety-critical systems: 6 years (Required)
Autonomous Vehicles (AV) Industry: 6 years (Required)
Automotive Industry: 5 years (Required)
Data Engineer: 6 years (Required)
Python/SQL: 5 years (Required)
Spark & Databricks: 4 years (Required)
ISO 26262: 1 year (Required)
Ability to Commute:
Foster City, CA 94404 (Required)
Work Location: In person
AV Safety Data Engineer
Long Term Contract
Foster City, CA - Onsite
The Safety Strategy & Operations team is responsible for developing and implementing safety processes from comprehensive safety planning and risk management to operational safety in the field, data analysis, and regulatory reporting, ensuring client's autonomous vehicles operate safely and meet all federal and state compliance requirements. This role will be pivotal in evaluating and improving the behavioural safety and hardware performance of our autonomous vehicles by leveraging fleet and simulation data. We analyze fleet data to identify critical safety events, evaluate system behaviour, and refine strategies that directly influence how our vehicles behave in complex environments.
As an AV Safety Data Engineer, you will play a critical role in developing and maintaining robust data infrastructure to surface safety-relevant interactions, assess AV events, and inform autonomy development through data-driven insights. You will build scalable pipelines and metrics that ensure we receive strong, reliable signals from data, directly influencing how we assess system readiness and accelerate safe deployment, while also supporting the crucial task of event triage and analysis.
In this role you will:
· Develop and maintain miners that identify events of interest from fleet and simulation data.
· Improve the accuracy and efficiency of existing miners through advanced statistical and ML techniques, ensuring high signal quality.
· Build scalable data pipelines and dashboards to monitor miner performance, signal quality, and key safety metrics.
· Conduct exploratory data analyses to uncover trends, failure modes, and opportunities to improve vehicle behaviour, specifically focusing on critical safety events and system anomalies.
· Triage and assess AV events including both system behaviour and hardware related anomalies, for potential safety/legal/regulatory concerns or system gaps, using contextual judgment grounded in safety, legal, and engineering principles.
· Develop and maintain clear triage guidelines and criteria for both onshore and offshore triage teams.
· Support regulatory reporting processes by providing data and analysis as needed.
Qualifications
· Master’s Degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative or Engineering field such as Transportation Engineering, Systems Engineering, Civil Engineering, Mechanical Engineering, or Electrical Engineering.
· 6-8 years of experience working with safety-critical systems in AV, Automotive, Transportation Engineering, or a closely related industry.
· Strong programming skills in Python and SQL.
· Experience with large datasets and distributed data processing frameworks (e.g., Spark, Databricks).
· Strong data engineering skills, including data wrangling and expertise in building maintainable, scalable, and efficient data pipelines.
· Familiarity with statistics and probability, and experience with sampling and estimation methodologies.
· Experience with business intelligence tools (e.g., Looker) to support analysis.
· Familiarity with ISO 26262 or other functional safety standards
· Proven ability to design metrics, run analyses, and translate findings into actionable recommendations.
· Strong understanding of behavioural safety concepts and the ability to interpret vehicle behaviour in real-world contexts, along with knowledge of AV requirements, road user behaviour, and traffic regulations.
· Experience working with cross-functional teams and clearly communicating technical content to both engineering and non-technical audiences.
· Strong organizational skills with attention to detail, especially in process development and documentation related to data pipelines and safety analysis.
Job Type: Contract
Pay: $80.00 - $85.00 per hour
Expected hours: 40 per week
Application Question(s):
Client is looking only for Autonomous Vehicle Industry experience candidates only.
Experience:
Safety-critical systems: 6 years (Required)
Autonomous Vehicles (AV) Industry: 6 years (Required)
Automotive Industry: 5 years (Required)
Data Engineer: 6 years (Required)
Python/SQL: 5 years (Required)
Spark & Databricks: 4 years (Required)
ISO 26262: 1 year (Required)
Ability to Commute:
Foster City, CA 94404 (Required)
Work Location: In person
