Job description

What you will do As a 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 to 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 6+ years of experience OR a Master's Degree with 3+ 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 a 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. Hiring Range for Job Opening US Pay Range $153,200 — $183,800 USD

Requirements

Must-haves

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.
Bachelor's Degree in Computer Science, Computer Engineering, Robotics Engineering, Systems Engineering, or engineering equivalent with 6+ years of experience OR a Master's Degree with 3+ 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 a 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.
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.

Nice-to-haves

Bonus Points!

Application prep

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Keywords to mirror

python

Platform: greenhouse
Effort: quick