Software Engineer Simulation Vehicle Modeling – 3054137

Apex Systems, Inc

Ann Arbor (MI)

Remote

USD 120.000 - 190.000

Vollzeit

Vor 11 Tagen

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Zusammenfassung

Apex Systems, Inc. is seeking a Software Engineer for Simulation Vehicle Modeling in Ann Arbor, MI. This full-time role focuses on building scalable vehicle models and simulation infrastructure for autonomous driving validation and verification.

You will work across architecture, modeling, and tooling, implementing high-fidelity dynamics, validating models, and collaborating with autonomy teams. Remote work options are available, with coordination in a distributed team.

Qualifikationen

  • Bachelor’s Degree in CS/Robotics/Engineering plus 10 years of relevant experience, or Master’s +7 years, or PhD +3 years.
  • Experience driving technical consensus across simulation, autonomy, and safety domains.
  • Proficient in C within Linux environments and ROS/ROS2 tooling.

Aufgaben

  • Own and evolve the technical architecture for scalable vehicle modeling and simulation across vehicle types and sensor platforms.
  • Develop high-fidelity truck and vehicle dynamics models (longitudinal, lateral, and transient).
  • Define and drive statistical validation metrics for Safety Case claims and autonomy V&V.
  • Design and scale robustness testing frameworks including controller/planner interaction testing.
  • Design, develop, and maintain high-fidelity simulation platforms for closed-loop evaluation at scale.
  • Collaborate with autonomy engineering teams to capture vehicle model requirements for planning and controls.
  • Ensure model updates do not regress autonomy V&V performance; define regression frameworks.
  • Lead end-to-end software lifecycle activities in C in Linux/ROS/ROS2 environments.

Kenntnisse

C programming
Linux
ROS/ROS2
Simulation
Software architecture
High-performance computing

Ausbildung

Bachelor’s Degree in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or related technical field
Master’s Degree in the above fields
PhD in the above fields

Tools

ROS/ROS2 tooling
Linux
C/C++

Jobbeschreibung

Job#: 3054137 Job Description: Software Engineer Simulation Vehicle Modeling Location: Ann Arbor, Michigan (Remote) Full Time Employment Opportunity (cannot provide visa sponsorship now or in the future)

Company Overview & Culture At our organization, the simulation teams are building the foundation for AV 3.0 driver-out development and certification. 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 role in evaluating and advancing autonomous driving software. We support massive-scale, parallel execution for scaled verification and validation (V&V) and high-throughput reinforcement learning (RL) training. Ultimately, we provide the framework and tooling that serves Autonomy, Safety, and Release with shared artifacts, common metrics, and deterministic reproducibility. Our culture is collaborative, energetic, and team focused.

Key Responsibilities
  • Own and evolve the technical architecture for scalable vehicle modeling and simulation — extensible across vehicle types, sensor platforms, and fleet variability as our 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.
  • 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.
  • 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.
  • 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.
  • Ensure vehicle model updates do not regress autonomy V&V system performance, using automated regression frameworks you help define.
  • Execute full software development lifecycle activities primarily in C within a Linux environment and ROS/ROS2 tooling, applying Lean-Agile methodologies.
  • 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.
  • Set direction for system-level test plans and verification strategies across the simulation organization.
  • Communicate technical direction, design decisions, and blockers clearly at stand-ups, design reviews, and cross-organization architecture discussions.
  • Build and maintain collaborative relationships with OEM partners and simulation tool vendors to evaluate, integrate, and co-develop simulation capabilities.
  • Mentor engineers across the simulation and autonomy domains and help raise the bar on code quality, process, and testing rigor.
Required Qualifications
Education:

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.

Experience:

A track record of driving technical consensus across simulation, autonomy, controls, product, and safety t

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