EN_3015_Simulation Engineer (End-to-End Autonomous Driving Model Development)

-About the role- ◆This role is open to engineers with expertise in the simulation domain.◆ Turing is a deep-tech startup on a mission to achieve full self-driving. To accelerate research and development of our End-to-End autonomous driving model, we are building next-generation simulation technology. Specifically, we are combining a 3D Gaussian Splatting-based simulator for evaluation and training, a large-scale distributed training infrastructure, and control systems (such as MPC) to enable efficient and robust autonomous driving development that is not dependent on real-vehicle testing. The Simulation Engineer in this role will lead the design and development of the closed-loop simulator that forms the foundation of this effort, working closely with ML engineers to accelerate the advancement of autonomous driving technology. ■What you will work on -Development of a 3DGS-based closed-loop simulator -Support for End-to-End autonomous driving model development -Integration with distributed training infrastructure ■Goal of simulator development We will build a high-fidelity simulation environment that leverages large-scale generated 3DGS scenes to enable training and evaluation of End-to-End models. We aim to integrate control layers and physical simulation to create an environment where control algorithm exploration can be conducted without relying on real-vehicle testing. ■What does "model development support" mean? We will support pretraining of E2E models suited for reinforcement learning and imitation learning, and drive efficient E2E model exploration including the control layer. ■Integration with distributed training infrastructure We will expand our simulation environment to support robust model training across diverse traffic scenarios and randomized physical properties. To make the simulation environment a shared infrastructure usable across the entire company, it needs to connect seamlessly with our existing model development data pipeline and training infrastructure. Rather than simply building a simulator, we aim to establish it as a company-wide common platform that supports model development across all teams.

■Required qualifications ・Alignment with Turing's mission and values ・Software development experience using Python and/or C++ ・Knowledge and practical experience in at least one of the following: simulation, robotics, or graphics ・Problem-solving ability for technical challenges and strong collaborative skills ・Japanese language proficiency (JLPT N2 or equivalent)

■Preferred qualifications ・Experience with cutting-edge 3D graphics technologies such as Gaussian Splatting or NeRF ・Experience developing with game engines (Unreal Engine, Unity, etc.) or rendering systems ・Experience developing large-scale systems or real-time applications ・Experience with autonomous driving or in-vehicle system development ・Experience with sensor simulation (LiDAR, radar, cameras, etc.) ・Knowledge of rigid body simulation or physically-based rendering ・Experience designing and optimizing large-scale ML inference systems or GPU cloud environments ・Development experience in cloud environments (AWS, GCP, Azure, etc.)

■Who we are looking for ・Driven to build a world-class company ・Self-starter who takes initiative on everything ・Humble, with genuine empathy for others ・Flexible and excited by rapid organizational and business growth ・Growth-oriented mindset ・Resilient — able to find joy even in tough challenges ◆Tech stack ・Language：Python、C++ ・Libraries：PyTorch、OpenCV、MMDetection、ONNX、TensorRT ・Middleware：Slurm、Ray ・Cloud：AWS、Databricks (DWH) ・Platform：Jetson、Linux 【LEARN MORE】 ▼Company website https://tur.ing/ ▼Turing Tech Blog https://zenn.dev/p/turing_motors ▼Turipo（Owned media / Web Magazine） https://tur.ing/turipo ▼Turing Tech Talk #27 From Digital to the Real World: The Path to Full Self-Driving Through Reinforcement Learning https://www.youtube.com/live/atAd0hHMwwI?feature=shared 【Application notes】 · Please submit your resume and work history in PDF format. · Do not include salary information (current or desired) in your application documents or entry form. · Our HR team will discuss compensation separately during the selection process.