Software Engineer - Modeling & Simulation

Job description

Job responsibilities

• Sensor and Vehicle Modeling: Develop accurate models of sensors (e.g., LiDAR, cameras, IMUs) and vehicles to simulate performance under various configurations.
• Simulation Validation: Ensure simulated sensors and platforms closely match physical hardware performance in real-world conditions.
• Software Tooling: Build and maintain software tools for visualizing, analyzing, and optimizing sensor and vehicle configurations.
• Performance Analysis: Conduct technical evaluations of sensor configurations to assess range, accuracy, and other performance metrics.
• Optimization: Explore trade-offs in sensor placement, platform design, and environmental factors to maximize system performance.
• Cross-Functional Collaboration: Work closely with perception, autonomy, and hardware teams to ensure simulation results inform real-world designs.
• Data Visualization: Develop intuitive visualization tools to present complex simulation results to technical and non-technical stakeholders.
• Iterative Improvement: Continuously refine models and tools based on feedback from physical testing and deployed systems.

Job requirements

• Education: Bachelor’s, Master’s, or Ph.D. in Robotics, Computer Science, Electrical Engineering, or a related field.
• Sensor Modeling Experience: Proven experience modeling sensors like LiDAR, cameras, IMUs, and GPS in simulation.
• Simulation Tools: Proficiency with simulation frameworks such as Unreal Engine .
• Software Development: Strong programming skills in C++ and Python for building simulation tools and analysis pipelines.
• Data Visualization: Experience creating tools or dashboards for visualizing simulation results.
• Physics-Based Modeling: Familiarity with physics-based simulation techniques for accurate environmental and sensor modeling.
• Systems Integration: Ability to validate and align simulation models with real-world hardware and systems.
• Analytical Skills: Strong ability to analyze and interpret simulation data for performance evaluation.