Autonomous Driving SIL Environment Development Engineer

This role develops and improves Software-in-the-Loop (SIL) environments used to evaluate and verify autonomous-driving software. The work covers two environments, ClosedSILS and OpenSILS, along with efforts to increase processing speed and development efficiency. The work location is Chuo-ku, Tokyo.

ClosedSILS connects a simulator with autonomous-driving software in real time to create a feedback loop. It is used to dynamically evaluate vehicle dynamics and vehicle-control logic. Responsibilities include improving the accuracy of the simulation models and developing methods that accurately associate generated signals with actual vehicle behavior. The role also addresses computational optimization and workload reduction so that simulations can run faster while maintaining evaluation accuracy.

OpenSILS provides an offline platform for verifying software behavior with log data collected during real-vehicle driving. A key focus is reproducing conditions that occur in the vehicle, including communication delays and processing delays caused by CPU load. Rather than simply replaying recorded logs, the environment applies corrections based on workload conditions and processing timing. This enables software behavior to be reproduced under conditions similar to those of the actual vehicle, helping identify the root causes of problems found during driving and supporting software improvement.

Both SIL environments require improvements in processing speed. The team works to maximize real-time simulation performance and create an efficient test environment that improves the speed and precision of software development. The broader technical context combines simulation with analysis of real-vehicle data to support autonomous-driving development, with a focus on addressing safety and reliability issues.