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Torc Robotics via Greenhouse

Simulation V&V Manager

Location not stated $160.8k–193k/yr Level not stated
still open verified 2d ago posted 2d ago seen 2h ago
Apply at job-boards.greenhouse.io

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 2d ago

The date the source published, not the day we noticed it (2026-10-08). Last seen at its source 2h ago.

We have tracked this listing since 8 Oct 2026 (2 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.

Is it remote?

Remote

That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.

Who may apply?

Not stated

The description states no restriction of its own. This is the source's own tag.

Pay

$160.8k–193k/yr

Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.

Skills named in the ad

Data AnalysisPythonSQLStatisticsTroubleshooting

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

The listing

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
Apply at job-boards.greenhouse.io