Software Engineer I - Metrics for Release Implementation

Torc Robotics is a leader in autonomous driving technology focused on developing software for automated trucks. As a Software Engineer I on the Metrics for Release team, you will contribute to cloud-based systems and data pipelines that evaluate autonomy performance and support release readiness across Torc Drive.

Responsibilities:

• Contribute to the development and maintenance of Python-based services and AWS data pipelines supporting metrics and validation workflows
• Assist in processing and analyzing vehicle telemetry and validation data to generate meaningful safety metrics
• Support implementation of release validation logic tied to automated testing and evaluation pipelines
• Collaborate with systems, validation, and autonomy teams to support implementation of safety and performance metrics
• Investigate pipeline failures, telemetry inconsistencies, and data quality issues using logs and large-scale datasets
• Support workflow orchestration and automation systems used for validation and release readiness
• Participate in code reviews and collaborate with team members to deliver reliable, maintainable software solutions
• Contribute to continuous improvement of engineering practices, tooling, and validation infrastructure

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Robotics, Electrical Engineering, Mechanical Engineering, Systems Engineering, or related technical field plus 0–4 years of relevant experience, OR Master's degree in a related technical field
• Strong programming experience in Python
• Familiarity with cloud infrastructure and AWS services such as S3, Lambda, ECS, or Step Functions
• Familiarity with data processing, backend systems, or large-scale datasets
• Ability to debug and troubleshoot systems using logs, telemetry, and data analysis
• Strong problem-solving skills and ability to work collaboratively across teams
• Strong communication skills and willingness to learn in a fast-paced engineering environment
• Exposure to workflow orchestration tools such as Temporal, Airflow, or AWS Step Functions
• Experience working with telemetry, event data, or time-series datasets
• Exposure to robotics, automotive, or autonomous systems
• Experience contributing to validation, metrics, or automated testing systems
• Familiarity with cloud-native development or CI/CD workflows
• Experience working in safety-critical or high-reliability environments