どんな仕事か: This role focuses on building backend infrastructure for autonomous driving data platforms, covering the full data lifecycle from sensor ingestion and scene mining to dataset management, cloud-scale simulation, and model evaluation.
- Developing and maintaining core backend services across the data closed loop.
- Building high-performance data pipelines for LiDAR, camera, and radar data.
- Developing scene mining, anomaly detection, semantic search, and active learning capabilities.
- Building cloud-scale simulation infrastructure, including job scheduling, scene management, and automated evaluation.
- Designing data storage, versioning, traceability, and quality management systems.
- Providing data services, APIs, and dataset interfaces to accelerate algorithm development.
- Collaborating with algorithm, annotation, and simulation teams to improve platform performance and efficiency.
求められるスキルは: 必須・Bachelor's degree or above in CS or a related field; 3+ years of backend engineering experience in data platforms or autonomous driving data closed-loop systems
・Proficiency in Python, Go, or Java; solid system-level design skills with a strong emphasis on production code quality
・Hands-on production experience with distributed computing frameworks (Spark, Ray, or Flink); able to identify and resolve performance issues at scale
・Experience with data versioning or Lakehouse architecture (Iceberg, Hudi, or Delta Lake), or platform-level dataset lineage systems
・Practical experience with workflow orchestration tools (Airflow, Dagster, or Argo)
・Clear understanding of the autonomous driving data closed-loop flow; able to communicate directly with algorithm engineers

歓迎・Experience building backend infrastructure for cloud-scale simulation platforms (job scheduling, scene management, results pipeline)
・Led a data platform build from scratch (0 to 1)
・Production experience with commercial or passenger vehicle autonomous driving data closed loops
・Engineering experience with vector search, active learning, or VLM-assisted annotation pipelines
・Kubernetes experience; PB-scale object storage or cloud-native data platform development
・Actively uses AI coding tools (LLM/Copilot) as part of daily engineering workflow
雇用形態は: Full Time / 正社員
どこで働くか: 東京都
勤務時間は: フレックスタイム制（コアタイムあり）
給与はどのくらい貰えるか: 1000万円～1999万円
待遇・福利厚生は: Employment Insurance / 雇用保険,Industrial Accident Compensation Insurance / 労災保険,Employees' Pension Insurance / 厚生年金保険,Employees' Health Insurance / 健康保険
休日休暇は: [勤務時間]
フレックスタイム制（コアタイムあり）
リモートワーク　：要相談

[休日・休暇]

土・日・祝日
年次有給休暇
慶弔休暇、産休・育休等"

Data Closed-Loop Engineer

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