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Torc RoboticsTR

Systems Engineer I - Test Automation

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: 99k-119k 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.

Meet the Team

Torc is developing Level 4 autonomous semi-truck software to transform how freight moves across the world. As a Software Engineer I on the Test Automation team, you will support the development of automated validation systems used to verify software releases across embedded and autonomy platforms using Hardware-in-the-Loop (HIL) systems.

This team focuses on validating software early in the development lifecycle by building scalable automation frameworks and validation infrastructure that improve release quality and system reliability before deployment onto vehicles. In this role, you will work closely with senior engineers and cross-functional teams to support automated testing workflows, debug issues across hardware and software systems, and contribute to the continuous improvement of Torc’s validation infrastructure.

Your work will directly contribute to the safety, reliability, and scalability of Torc’s autonomous driving platform.

What You’ll Do

  • Contribute to the development and maintenance of automated test frameworks for component-level validation using HIL systems
  • Develop Python-based tooling supporting test automation, validation workflows, and data analysis
  • Support execution and monitoring of automated software validation across embedded and autonomy subsystems
  • Assist in analyzing test failures, debugging issues, and investigating root causes across hardware and software components
  • Collaborate with systems, embedded, and autonomy teams to support validation strategies and improve test coverage
  • Help maintain scalable test infrastructure and CI-based validation workflows
  • Support integration and verification activities involving sensors, compute platforms, and control systems
  • Participate in test planning, automation improvements, and validation activities across the software development lifecycle

What You’ll Need to Succeed

  • Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Robotics, Electrical 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 software development workflows including version control, build systems, or CI/CD environments
  • Basic understanding of embedded systems, robotics systems, or hardware/software integration concepts
  • Ability to analyze logs, debug issues, and troubleshoot software or system-level problems
  • Strong problem-solving skills and ability to work collaboratively in a fast-paced team environment
  • Strong communication skills and willingness to learn in an evolving technical environment

Bonus Points

  • Exposure to HIL systems, embedded platforms, or automated testing environments
  • Experience working with robotics, autonomous systems, or ADAS technologies
  • Familiarity with containers, automation frameworks, or validation infrastructure
  • Exposure to real-time or safety-critical systems
  • Experience with data analysis, telemetry analysis, or system debugging workflows
  • Familiarity with systems engineering principles or structured validation methodologies

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 match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • 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.

Hiring Range for Job Opening 

US Pay Range

$98,800 - $118,600 USD

Job ID: 102726

About the job

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Job type

Full Time

Experience level

Salary

Salary: 99k-119k USD

Education

Bachelor degree
Postgraduate degree

Experience

0 months minimum

Experience accepted in place of education

Location requirements

Hiring timezones

United States +/- 0 hours

About Torc Robotics

Learn more about Torc Robotics and their company culture.

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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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