Senior System Test Engineer - Simulation

Socket.dev; United States; On-site; USD 153,000 - 184,000; Full time

Job summary

Socket.dev is seeking a Simulation Test Engineer to own system-level simulation testing for autonomous driving software. You will drive virtual verification and validation across perception and autonomous components, and support development and integration teams to improve robustness and safety of self-driving tech.

You will identify, plan, and execute simulation test campaigns, develop V&V strategies with Product/Safety teams, and maintain a Scenario Library to ensure robust ODD coverage.

Qualifications

• Experience with virtual testing and simulation of perception and autonomous vehicle behavior.
• Experience developing scenarios compliant with ASM OpenScenario standard.
• Experience developing Test Cases and Test Procedures.

Responsibilities

• Own system-level simulation testing of autonomous driving software and V&V efforts.
• Plan and execute simulation test campaigns for AV V&V.
• Interface with Product, Systems, and Safety teams on V&V strategies.
• Maintain and improve scenario library for ODD coverage.
• Identify gaps and derive requirements for test tools and frameworks.
• Coordinate with tools teams and vendors for toolchains evolution.
• Analyze results and develop dashboards and reports for stakeholders.

Skills

Virtual testing

Python

Linux

Probability & linear algebra

Scenario development

Test case development

Communication with stakeholders

Education

Bachelor's degree in CS/CE/Robotics/Systems Engineering

Master's degree in CS/CE/Robotics/Systems Engineering

Tools

OpenScenario

ROS

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