Software Engineer I - Metrics for Release

Posted 4 Hours Ago
Be an Early Applicant
3 Locations
Hybrid
114K-137K Annually
Junior
Artificial Intelligence • Automotive • Robotics • Software • Transportation
The Role
Build and maintain AWS-based data pipelines and Python services that process vehicle telemetry and validation data. Compute safety and performance metrics, support release validation and automated testing pipelines, investigate pipeline failures and data anomalies, collaborate with cross-functional teams, and contribute to statistical analysis and reporting to ensure autonomous truck safety and reliability.
Summary Generated by Built In

About the Role:
Torc is developing Level 4 autonomous semi-truck software to transform how freight moves across the world. As a Software Engineer I on the Metrics & Release team, you will contribute to the cloud-based infrastructure that evaluates system performance and ensures software updates meet safety and reliability standards before deployment.This team owns the safety metrics, KPIs, and automated evaluation pipelines that enable scalable, production-grade autonomy. In this role, you will help build and maintain the systems that process vehicle telemetry and validation data, turning raw truck data into measurable signals used to evaluate system readiness. You will work closely with senior engineers and cross-functional teams to support the development of metrics, validation workflows, and data pipelines that help ensure the safety and reliability of Torc’s autonomous driving platform.
What You’ll Do:
• Contribute to the development and maintenance of AWS-based data pipelines that process vehicle telemetry and validation data.
 • Develop Python code and services supporting safety and performance metric computation.
 • Assist in analyzing truck-generated data and translating it into measurable system signals.
 • Support implementation of release validation logic tied to automated testing pipelines.
 • Collaborate with systems, validation, and autonomy teams to help define meaningful KPIs and metrics.
 • Investigate pipeline failures, data inconsistencies, and telemetry anomalies using logs and large-scale datasets.
 • Support statistical analysis and reporting across validation and testing data.
 • Participate in code reviews and collaborate with team members to deliver reliable, maintainable software.
What You’ll Need:
• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Robotics, Electrical Engineering, Mechanical Engineering, Systems Engineering, or a 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 data processing, data pipelines, or working with large datasets.
 • Basic understanding of cloud infrastructure, preferably AWS services such as S3, Lambda, ECS, or Step Functions.
 • Basic understanding of statistics, data analysis, or metric computation.
 • Ability to analyze system behavior through data and logs.
 • Strong problem-solving skills and ability to work collaboratively in a team environment.
Nice to Have:
• Exposure to robotics, autonomous systems, or sensor data processing.
 • Experience working with telemetry, event data, or time-series datasets.
 • Familiarity with workflow orchestration tools such as Temporal, Airflow, or AWS Step Functions.
 • Experience contributing to automated testing or validation pipelines.
 • Experience working in safety-critical or high-reliability systems.

Hiring Range for Job Opening 
US Pay Range
$114,400$137,300 USD

Skills Required

  • 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 data processing, data pipelines, or working with large datasets.
  • Basic understanding of cloud infrastructure.
  • Familiarity with AWS services (S3, Lambda, ECS, Step Functions).
  • Basic understanding of statistics, data analysis, or metric computation.
  • Ability to analyze system behavior through data and logs.
  • Strong problem-solving skills and ability to work collaboratively in a team environment.
  • Exposure to robotics, autonomous systems, or sensor data processing.
  • Experience working with telemetry, event data, or time-series datasets.
  • Familiarity with workflow orchestration tools such as Temporal or Airflow.
  • Experience contributing to automated testing or validation pipelines.
  • Experience working in safety-critical or high-reliability systems.
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The Company
HQ: Blacksburg, VA
500 Employees
Year Founded: 2005

What We Do

Torc Robotics is an independent subsidiary of Daimler Truck AG, a global leader and pioneer in trucking. Founded in 2005 at the birth of the self-driving vehicle revolution, we have 17 years of experience in pioneering safety-critical, self-driving applications. Torc offers a complete self-driving vehicle software and integration solution and is currently focusing on commercializing self-driving trucks.

Why Work With Us

Every Torc’r is unique. The traits that define and motivate us to save lives are what unite us. At Torc, we recognize that technical prowess is only part of the equation. Our team includes people with a consistent drive to accomplish great things. We look for those who don’t let ego get in the way of teamwork.

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