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Torc RoboticsTR

Software Engineer, I - Metrics for Release Platform

Torc Robotics, an independent subsidiary of Daimler Truck AG, is a pioneer in autonomous driving technology, currently focused on commercializing self-driving trucks for long-haul applications in the U.S. Founded in 2005, Torc has extensive experience in developing safety-critical, self-driving solutions.

Torc Robotics

Employee count: 501-1000

Salary: 114k-137k USD

United States only

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About the Company

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

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

Work Location: For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States.

Perks of Being a Full-time Torc’r

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:

  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer matchFlexibility in schedule and generous paid vacation (available immediately after start date)Company-wide holiday office closures
  • AD+D and Life Insurance

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.

Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Job ID: 102559

Hiring Range for Job Opening

US Pay Range
$114,400—$137,300 USD

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Entry-level

Salary

Salary: 114k-137k USD

Education

Bachelor degree
Postgraduate degree

Experience

No experience required

Location requirements

Hiring timezones

United States +/- 0 hours

About Torc Robotics

Learn more about Torc Robotics and their company culture.

View company profile

What began in 2005 as Torc Technologies, a venture by a group of Virginia Tech graduate students, has evolved into a leading name in autonomous vehicle technology. The mission from the outset was to continue their collegiate work on autonomous vehicle software, initially focusing on Tele-Operated Robotic Controls (TORC) and developing Level 4 autonomous technology. A significant early milestone came in 2007 when Torc, in partnership with Virginia Tech, secured third place in the DARPA Urban Challenge. This achievement involved their Ford Escape, 'Odin,' autonomously navigating 60 miles of urban and off-road environments.

The company's journey continued with impactful projects, including a 2010 partnership with Virginia Tech for the National Federation of the Blind's Blind Driver Challenge, which earned them the National Instruments' 2010 Application of the Year. This project saw a blind driver independently operate Torc's modified Ford Escape on the Daytona Speedway in 2011. Torc's expertise also extended to defense, developing autonomous solutions like the Ground Unmanned Support Surrogate (GUSS) to assist military personnel. Over the years, Torc has been involved in various defense and heavy equipment applications, and participated in the DARPA Robotics Challenge. A pivotal moment arrived in March 2019 when Daimler AG, through Daimler Trucks North America, acquired a majority stake in Torc Robotics. This partnership shifted Torc's primary focus to commercializing autonomous trucks for long-haul applications in the United States. Torc is now an independent subsidiary of Daimler Truck AG. The company has since expanded its operations, opening an engineering office in Austin, Texas, and a Technology and Development Center in Stuttgart, Germany in 2022, as well as facilities in Albuquerque, New Mexico, and Montreal, Canada. Torc continues to advance its 'physical AI,' enabling self-driving trucks to perceive, understand, and act in the real world, with a commercial launch targeted for 2027.

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