Staff Simulation Test Engineer

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.

What you will do:

As a Staff Simulation Test Engineer, you will own system level simulation testing of our autonomous driving software. You will focus on the virtual verification and validation of both perception and autonomous. You will also provide support Torc’s development and integration teams and be instrumental in growing the robustness and safety of our self-driving technology.

• Identify, plan, and execute simulation test campaigns for autonomous vehicle V&V efforts


• Interface with Product, Systems, and Safety teams to develop V&V simulation strategies


• Maintain and improve Torc's Scenario Library, containing Abstract, Logical, and Concrete scenarios to ensure robust ODD coverage


• Acknowledge testing gaps and derive requirements for new or improved test tools, simulation environments and test frameworks.


• Coordinate with internal tools teams and external vendors to evolve Torc's simulation and virtual testing toolchains


• Perform in-depth analysis and triage of simulation results, including development of dashboards and test reports to communicate results clearly to stakeholders

What you’ll need to succeed:

• Bachelor's Degree in Computer Science, Computer Engineering, Robotics Engineering, Systems Engineering, or engineering equivalent with 10+ years of experience OR a Master's Degree with 7+ years of experience · Experience with virtual testing and simulation of perception and autonomous vehicle behavior


• Experience developing scenarios compliant with the ASM OpenScenario standard, especially Abstract and/or Logical Scenarios


• Experience developing Test Cases and Test Procedures


• Scripting in .yaml and using Python for data analysis


• Experience with software and system troubleshooting and problem-solving with specific focus on system-level analysis, fault isolation and identification


• Proficiency working in Linux environment


• Working knowledge of basic probability and linear algebra


• Experience effectively reporting progress and test results to stakeholders


• Familiar with the state-of-the-art approaches of autonomous vehicle validation

Bonus Points!

• Automotive or similar test and validation experience


• Experience with developing & validating sensor models, traffic vehicle models, and vehicle dynamics models


• ROS (Robot Operating System)


• Ability to mentor lower-level engineers

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

Hiring Range for Job Opening

US Pay Range

$168,800 - $202,600 USD

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.