[Remote] Software Engineer I - Metrics for Release Implementation
Note: The job is a remote job and is open to candidates in USA. 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 ensure software releases meet safety and performance expectations.
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
Skills
- 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
Benefits
- A competitive compensation package that includes a bonus