Software Engineer - Data Workflows

We are seeking an experienced backend software engineer with a strong emphasis on data engineering and data analytics.

The ideal candidate has experience with large-scale data ETL pipelines and schema design, web services and APIs, cloud infrastructure, and test automation.

They will lead the design and deployment of cloud-native workflows for large-scale ADAS simulation and evaluation, including analytics applications, test orchestration, and traceability systems.

By championing best practices, collaborating with cross-functional teams, and mentoring developers, you will play a key role in building our mission-critical AD/ADAS tools.

• Backend and Data Software Engineering
• Build and optimize end-to-end data workflows from collection to user-facing tools
• Create efficient data models and automation pipelines for AD/ADAS systems
• Develop robust APIs to support data analytics applications
• Implement comprehensive testing strategies to ensure application reliability
• Communicate technical concepts and data findings effectively to non-technical team members and leadership
• Teamwork
• Collaborate closely with the Product team and internal customers to optimize workflows and user experience.
• Work with other engineers to promote best practices, conduct code reviews, and ensure consistency and quality across the codebase
• Ownership
• Write clear technical design documents and system documentation.
• Deliver features through the full software lifecycle including requirements gathering, design, implementation, testing, documentation, release, and maintenance.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 3+ years of professional software development experience in backend web services and data pipelines.
• Technical Expertise
• Experience with Python in a web and data context
• Experience with SQL and data schema design.
• Experience with data ingestion and ETL pipelines.
• At least 1 year experience with cloud computing (AWS, Microsoft Azure, or Google Cloud)
• Familiarity with NoSQL database systems such as DynamoDB.
• Soft Skills
• Strong problem-solving and debugging capabilities.
• Strong written and verbal communication skills, including technical designs and documentation.
• Preferred Qualifications
• Experience with microservice and serverless cloud architectures.
• Experience with performance optimization techniques in various database systems.
• Experience with infrastructure as code (e.g., Terraform).

Interested candidates are encouraged to submit their application with a current resume and a portfolio/link to recent projects.