EN_3013_Robotics Software Engineer (Autonomous Driving Development)

-About the role- ◆This role is open to engineers with experience in machine learning, autonomous driving, or computer vision, as well as software engineers with experience in large-scale MLOps or data infrastructure development, or engineers who have worked on ML or software engineering in the robotics domain. Turing's mission is to develop a fully autonomous driving system. The overall autonomous driving system consists of various modules that communicate with each other via Pub/Sub messaging. While we keep dependencies as simple as possible, solving a wide range of software issues is essential for advancing autonomous driving model development and improving model accuracy. We are looking for engineers who can address software issues across multiple layers. Development challenges exist at many levels — from building ML model training pipelines and model quantization/optimization, to sensor data calibration and vehicle motion control implementation. ※ At the time of joining, we expect you to make an immediate impact by leveraging your existing strengths in a specific area, while gradually expanding your contributions across different layers over time. ■What you will work on ※ You will not be responsible for all of the following. You will focus on areas where your strengths shine, while also expanding into adjacent domains. ・Data calibration and coordinate transformation between different sensor devices ・Dataset creation and improvement ・Research, reproduction, and implementation of papers and existing implementations ・Evaluation of existing implementations using our proprietary datasets ・Model quantization and optimization ・On-vehicle model evaluation and experiment management ・Design and implementation of vehicle motion control systems and algorithms ・Evaluation and tuning of control performance using real vehicles ■Test your system and ML models in the real world Our development cycle: Build dataset & model → Drive test → Analyze experiment logs → Manage model. You will iterate on your models by experiencing them firsthand in a real vehicle. Use feedback from the physical world to drive your development forward. ■Who is thriving in this role Software engineers with development experience in the autonomous driving domain Engineers who have worked on software / control development at automotive companies Software engineers / control engineers from system development companies ML / software engineers from large-scale ad-tech companies

■Required qualifications ・Alignment with Turing's mission and values Plus at least one of the following: ・Experience with system development in robotics, autonomous driving, or similar domains ・Experience with middleware and control software development (device drivers, etc.) ・Japanese language proficiency (JLPT N2 or equivalent)

■Preferred qualifications ・Experience contributing to the development of complex multi-component systems by tackling bottlenecks that were blocking overall progress ・Experience with in-vehicle embedded application development such as autonomous driving systems or infotainment systems ・Experience working with sensors (cameras, GNSS, etc.) ・Implementation and optimization of model-based control (MPC, etc.) ・Experience developing motion simulation models / simulators ・Knowledge of vehicle motion control and vehicle dynamics

■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 【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 【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.