Staff Software Engineer – Simulation Vehicle Modeling

Jobtailor; Deutschland; Remote; EUR 120.000 - 160.000; Vollzeit

Zusammenfassung

Jobtailor is seeking an experienced engineer to own and evolve scalable vehicle modeling and simulation architectures. You will develop high-fidelity dynamics models for trucks and vehicles, define validation metrics, and design robustness tests for autonomous driving systems.

You will collaborate across autonomy, controls, and safety teams to ensure system-level verification and continuous delivery of capabilities.

Qualifikationen

• Bachelor's, Master's, or PhD in a technical field with many years of relevant experience.
• Deep proficiency in C++ (primary), Python for tooling, ROS/ROS2, CMake, and Linux.
• Strong background in physics-based modeling of ground vehicles, including longitudinal/lateral dynamics, tire models, and powertrain.
• Working knowledge of AV autonomy stack architecture — planning, controls, and system integration.
• Ability to translate vehicle model capabilities and limitations to autonomy engineering teams and capture their requirements.
• Experience defining statistical validation metrics and robustness testing frameworks used to support formal safety case claims.
• Experience with unit, integration, and regression testing, automated validation pipelines, and simulation-based performance benchmarking at scale.
• Track record of driving technical consensus across simulation, autonomy, controls, product, and safety teams.
• Ability to own and maintain key technical systems across multiple repositories and contribute to cross-org architectural decisions.
• Advanced-level professional operating with wide latitude for independent judgment and minimal supervision.
• Track record of mentoring engineers and contributing to technical direction within simulation and autonomy domains.

Aufgaben

• Own the technical architecture for scalable vehicle modeling and simulation across vehicle types and sensor platforms.
• Develop high-fidelity truck/vehicle dynamics models for nominal, off-nominal, and failure-mode simulations.
• Define statistical validation metrics supporting Safety Case claims and driver-out certification.
• Design and scale robustness testing frameworks, including controller/planner interaction testing.
• Build and maintain high-fidelity simulation platforms for closed-loop autonomous-driving software evaluation at scale.
• Collaborate with autonomy teams on vehicle model requirements for planning, controls, and system-level V&V.
• Communicate model capabilities and release notes across consuming teams.
• Prevent regressions via automated regression frameworks.
• Lead full SDLC in C++ on Linux/ROS/ROS2 with Lean-Agile methods.
• Perform root cause analysis on simulation and HIL issues.
• Drive test-plan design for data acquisition and telemetry for field data and model refinement.
• Set direction for system-level test plans and verification strategies across the simulation org.
• Communicate technical direction and blockers in stand-ups, design reviews, and architecture discussions.
• Build relationships with OEMs and simulation-tool vendors to evaluate and co-develop capabilities.
• Mentor engineers and improve code quality, process, and testing rigor.

Kenntnisse

C++ Programming

Vehicle Dynamics Modeling

ROS/ROS2

Linux

CMake

Python

Testing & Validation

Regression Testing

Mentoring

Technical Communication

System-Level Verification

Telemetry Systems

Ausbildung

Bachelor's Degree in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or related field

Master's Degree in the above fields

PhD in the above fields

Tools

Simulation Platforms

Telemetry Tools

Data Acquisition Tools

Jobbeschreibung

• Own and evolve the technical architecture for scalable vehicle modeling and simulation across vehicle types, sensor platforms, and fleet variability.


• Develop and own high-fidelity truck and vehicle dynamics models covering nominal, off-nominal, and failure-mode simulation domains.


• Define and drive statistical validation metrics supporting Safety Case claims and driver-out certification.


• Design and scale robustness testing frameworks, including controller/planner interaction testing.


• Design, develop, and maintain high-fidelity simulation platforms for closed-loop autonomous-driving software evaluation at scale.


• Partner with autonomy engineering teams on vehicle model requirements for planning, controls, and system-level V\u0026V.


• Communicate model capabilities, limitations, and release notes across consuming teams.


• Prevent regressions in autonomy V\u0026V system performance through automated regression frameworks.


• Execute the full software development lifecycle primarily in C++ within Linux and ROS/ROS2, applying Lean-Agile methodologies.


• Perform root cause analysis on simulation and hardware-in-the-loop issues.


• 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 in stand-ups, design reviews, and architecture discussions.


• Build relationships with OEM partners and simulation-tool vendors to evaluate, integrate, and co-develop capabilities.


• Mentor engineers and improve code quality, process, and testing rigor.

Requirements

• 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.


• Deep proficiency in C++ (primary), Python for tooling, ROS/ROS2, CMake, and Linux.


• Strong background in physics-based modeling of ground vehicles, including longitudinal/lateral dynamics, tire models, and powertrain.


• Working knowledge of AV autonomy stack architecture — planning, controls, and system integration.


• Ability to translate vehicle model capabilities and limitations to autonomy engineering teams and capture their requirements.


• Experience defining statistical validation metrics and robustness testing frameworks used to support formal safety case claims.


• Experience with unit, integration, and regression testing, automated validation pipelines, and simulation-based performance benchmarking at scale.


• Track record of driving technical consensus across simulation, autonomy, controls, product, and safety teams.


• Ability to own and maintain key technical systems across multiple repositories and contribute to cross-org architectural decisions.


• Advanced-level professional operating with wide latitude for independent judgment and minimal supervision.


• Track record of mentoring engineers and contributing to technical direction within simulation and autonomy domains.

Core Competencies

Demonstrates expertise in C++ programming, physics-based vehicle modeling, and simulation frameworks, with a strong focus on safety validation and autonomous vehicle systems. Proven ability to mentor engineers and drive technical direction across simulation and autonomy domains.

Highest-signal resume keywords

• C++ Programming


• Physics-Based Vehicle Modeling


• ROS/ROS2


• Statistical Validation Metrics


• Robustness Testing Frameworks

ATS Optimization Keywords

Hard Skills

• C++


• Python


• Linux


• CMake


• Vehicle Dynamics Modeling


• Automated Validation Pipelines


• Simulation-Based Performance Benchmarking


• Unit Testing


• Integration Testing


• Regression Testing

Soft Skills

• Mentoring


• Technical Communication


• Collaboration

Industry Keywords

• Autonomous Vehicles


• Safety Case


• Vehicle Model Requirements


• Test Plan Design


• System-Level Verification

Tools & Technologies

• ROS/ROS2


• Simulation Platforms


• Telemetry Systems


• Data Acquisition Tools