Avride-posted about 2 months ago
Full-time • Mid Level
Onsite • Austin, TX
251-500 employees

We are seeking a software engineer to join our robot simulation team. You will work on building a hybrid simulation framework that combines real-world data with synthetic environments. This includes simulating at the sensor level (e.g., LiDAR point clouds) as well as integrating behavioral cloning models into the simulation pipeline. Your work will enable realistic, large-scale testing of motion planning and ML-based control algorithms in diverse urban conditions.

  • Design and implement core components of a scalable hybrid simulator that blends real-world map and ride data with synthetic content.
  • Develop efficient C++ modules for geometric and physical modeling, map data processing, and sensor or agent simulation.
  • Collaborate with ML and behavior-modeling teams to integrate closed-loop agent simulation and support model training and evaluation.
  • Develop debugging and visualization tools to analyze simulation results, data consistency, and performance.
  • 3+ years of software engineering experience with C++.
  • Solid background in computational geometry
  • Experience developing simulation, rendering, or visualization tools.
  • Ability to design clean software architecture and collaborate effectively across teams.
  • Experience in game development, robotics simulators, or 3D graphics engines
  • Familiarity with physics simulation, sensor modeling, or data-driven simulation.
  • Exposure to machine learning or behavioral modeling workflows.
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