Torc Robotics

Torc Robotics

Staff, Software Engineer - Simulation Vehicle Modeling

Remote - US, Ann Arbor, MI · Staff+ · Full-time

Sponsorship not specified$186k-$223kDetected 19 days ago
PythonC++LinuxAgileRoboticsMechanical DesignElectrical EngineeringManual TestingCommunicationMentoring

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level IV · 4×
Level I$87,9011 entry
Level II$106,8912 entries
Level III$125,9023 entries
Level IV$144,8934 entries

This range already reaches Level IV — the maximum four lottery entries.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Ann Arbor, MI. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 5 green-card filings in this occupation, 100% were for a worker who already held the job.

Files H-1B transfers

11 transfer filings in the last year, covering 11 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • This team serves as the critical technical interface between simulation/modeling and autonomy consumers.
  • By ensuring model fidelity, coverage, and usability, the team plays a vital role in evaluating and advancing autonomous driving software.
  • Ultimately, we provide the framework and tooling that serves Autonomy, Safety, and Release with shared artifacts, common metrics, and deterministic reproducibility.

Responsibilities

  • Own and evolve the technical architecture for scalable vehicle modeling and simulation - extensible across vehicle types, sensor platforms, and fleet variability as Torc's autonomy program grows.
  • Develop and own high-fidelity truck and vehicle dynamics models (longitudinal, lateral, and transient behavior) spanning nominal, off-nominal, and failure-mode simulation domains.
  • Design, develop, and maintain high-fidelity simulation platforms used to validate autonomous driving software in closed-loop evaluation pipelines at scale.
  • Partner with autonomy engineering teams to capture and implement vehicle model requirements supporting planning, controls, and system-level V&V activities.
  • Own model capability communication, known limitations, and release notes to enable effective autonomy validation across consuming teams.
  • Perform root cause analysis on complex issues surfaced in simulation runs and hardware-in-the-loop testing.
  • Drive test plan design for data acquisition and telemetry supporting field data collection and vehicle model refinement.
  • Communicate technical direction, design decisions, and blockers clearly at stand-ups, design reviews, and cross-org architecture discussions.
  • Build and maintain collaborative relationships with OEM partners and simulation tool vendors to evaluate, integrate, and co-develop simulation capabilities.
  • Working knowledge of AV autonomy stack architecture - planning, controls, and system integration - to collaborate effectively with autonomy engineering teams and ensure vehicle models meet V&V requirements.

Requirements

  • Design and scale robustness testing frameworks - including controller/planner interaction testing - to stress-test autonomy software at the fidelity and throughput required for large-scale V&V and RL training.
  • Deep proficiency in C++ (primary), Python for tooling, ROS/ROS2, CMake, and Linux.
  • Experience with unit, integration, and regression testing, automated validation pipelines, and simulation-based performance benchmarking at scale.
  • Experience with high-fidelity truck & trailer or heavy-vehicle models.

Nice to have

  • Bachelor's Degree in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or a related technical field plus 10+ years of relevant experience
  • or Master's Degree in the above fields plus 7+ years
  • or PhD plus 3+ years.

Skills

  • Meet the Team

Compensation

  • A competitive compensation package that includes a bonus component and stock options

Benefits

  • Define and drive the statistical validation metrics that directly support Safety Case claims, ensuring model fidelity and coverage meet the bar required for driver-out certification.

Company info

  • 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.
  • At Torc, our simulation teams are building the foundation for AV 3.0 driver-out development and certification.
  • We support massive-scale, parallel execution for scaled verification and validation (V&V) and high-throughput reinforcement learning (RL) training.

This listing is sourced directly from Torc Robotics's careers page and normalized into a canonical job model.