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Torc Robotics

Simulation V&V Manager

United States

Location
United States
Work
Remote
Employment
Not stated
Level
Not stated
Function
Other
Pay
$160.8K – $193K a year
Posted
4 weeks ago

About the role

What you will do

As the Simulation Test Manager, you will lead a team of simulation test engineers responsible for the virtual verification and validation (V&V) of Torc’s autonomous truck. You will set the strategic and technical direction for the team, ensuring that simulation-based evidence for both perception and autonomous behavior supports Torc’s safety case and aligns with industry standards including ISO 21448 (SOTIF), ISO 8800, and ISO 26262. You will also partner with development, integration, and safety teams and be instrumental in growing the robustness and safety of our self-driving technology.

  • Lead, mentor, and grow a team of simulation test engineers, setting clear goals, priorities, and development plans.
  • Define and own the scaled simulation V&V strategy, roadmap, and technical direction for the team in support of Torc’s autonomous truck safety case.
  • Ensure simulation test methods, processes, and evidence align with ISO 21448 (SOTIF), ISO 8800, and ISO 26262.
  • Partner with Product, Systems, and Safety teams to translate requirements, hazardous, and ODD definitions into simulation V&V strategies and release-readiness criteria.
  • Plan and oversee simulation test campaigns, including resourcing, scheduling, and delivery against program milestones.
  • Guide the evolution of Torc’s Scenario Library, containing Abstract, Logical, and Concrete scenarios, to ensure robust ODD coverage and traceability to requirements.
  • Identify testing gaps and drive requirements for new or improved test tools, simulation environments, and test frameworks; manage relationships with internal tools teams and external vendors to evolve Torc’s simulation and virtual testing toolchains.
  • Review simulation results and communicate V&V status, risks, and findings to engineering leadership and stakeholders through dashboards and test reports.

What you’ll need to succeed

Bachelor's degree in engineering or a related field with 6+ years of experience, or a Master's degree with 4+ years of experience.

  • Experience leading virtual testing and simulation of perception and autonomous vehicle behavior.
  • Working knowledge of ISO 26262, ISO 21448 (SOTIF), and ISO 8800, and how they apply to simulation-based verification and validation.
  • Experience defining test strategy and overseeing the development of simulation scenarios and Test cases with traceability to requirements.
  • Familiarity with scenario-based testing and the ASAM OpenSCENARIO standard, especially Abstract and/or Logical Scenarios.
  • Technical depth in Python and SQL for data analysis.
  • Experience with software and system troubleshooting and problem-solving with specific focus on system-level analysis, fault isolation, and identification.
  • Working knowledge of probability, statistics, and linear algebra, including their use in coverage and statistical validation arguments.
  • Experience managing cross-functional partners, internal tools teams, and external simulation vendors.
  • Experience effectively reporting progress and test results to leadership and stakeholders.
  • Familiar with the state-of-the-art approaches of autonomous vehicle validation.

Bonus Points!

ADAS verification and validation experience.

  • Experience contributing to safety cases or safety assurance arguments, including simulation tool qualification (e.g., ISO 26262 tool confidence).
  • Experience with developing & validating sensor models, traffic vehicle models, and vehicle dynamics models.
  • Experience evaluating and interacting with ROS based systems.
  • Experience hiring, building, and scaling engineering teams.

Hiring Range for Job Opening

US Pay Range

$160,800—$193,000 USD

Source

Posted by Torc Robotics on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 07:19 UTC; the original is the reference.

View the original ad ↗

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