The AV Validation Infrastructure team is looking for an experienced backend Python developer with a strong background in data, pipelines, streaming, and databases to help us scale our infrastructure and services.
Our team is responsible for ensuring the safety and performance of autonomous vehicle (AV) by building the tooling, data systems, and automation that power large-scale validation.
Key Challenges:
Ingest vast amounts of driving data daily, and youll help design systems to store, process, and query it efficiently.
Work with both structured data (tables, metrics, logs) and unstructured data (images, logs, voice recordings, etc.), connecting them to understand vehicle behavior and AV version stability.
Support hundreds of internal and external users across the organization and customers, where reliability, usability, and performance are critical.
What will your job look like:
Design and develop large-scale automation infrastructure and internal tooling for AV validation
Build and maintain data-driven services and pipelines in Python
Develop and maintain RESTful APIs and queue-based / event-driven services
Work with CI/CD and infrastructure tools such as Jenkins, Linux, Kubernetes
Work with modern data and storage technologies, such as:
Data & compute: Spark (advantage)
Databases / data lake: Iceberg, Athena, DynamoDB, RDS, other SQL/NoSQL systems
Our team is responsible for ensuring the safety and performance of autonomous vehicle (AV) by building the tooling, data systems, and automation that power large-scale validation.
Key Challenges:
Ingest vast amounts of driving data daily, and youll help design systems to store, process, and query it efficiently.
Work with both structured data (tables, metrics, logs) and unstructured data (images, logs, voice recordings, etc.), connecting them to understand vehicle behavior and AV version stability.
Support hundreds of internal and external users across the organization and customers, where reliability, usability, and performance are critical.
What will your job look like:
Design and develop large-scale automation infrastructure and internal tooling for AV validation
Build and maintain data-driven services and pipelines in Python
Develop and maintain RESTful APIs and queue-based / event-driven services
Work with CI/CD and infrastructure tools such as Jenkins, Linux, Kubernetes
Work with modern data and storage technologies, such as:
Data & compute: Spark (advantage)
Databases / data lake: Iceberg, Athena, DynamoDB, RDS, other SQL/NoSQL systems
Requirements:
B.Sc. in Computer Science / Software / Electrical Engineering, or equivalent practical experience (including relevant IDF background)
3+ years of experience as a Python developer
Experience building backend / service-oriented systems (REST APIs, background workers, etc.)
Experience with AWS (Athena, S3, Lambda, etc.) or other cloud providers
Strong communication and collaboration skills, ability to work with multiple stakeholders
Proven ability to prioritize and deliver in a fast-paced environment
Experience with SQL and NoSQL databases – advantage
Experience with Kubernetes (K8s) -deploying and operating services in a containerized environment – advantage
Hands-on work with CI/CD (e.g., Jenkins, GitLab CI, GitHub Actions) – advantage
B.Sc. in Computer Science / Software / Electrical Engineering, or equivalent practical experience (including relevant IDF background)
3+ years of experience as a Python developer
Experience building backend / service-oriented systems (REST APIs, background workers, etc.)
Experience with AWS (Athena, S3, Lambda, etc.) or other cloud providers
Strong communication and collaboration skills, ability to work with multiple stakeholders
Proven ability to prioritize and deliver in a fast-paced environment
Experience with SQL and NoSQL databases – advantage
Experience with Kubernetes (K8s) -deploying and operating services in a containerized environment – advantage
Hands-on work with CI/CD (e.g., Jenkins, GitLab CI, GitHub Actions) – advantage
This position is open to all candidates.
