Mô tả công việc
This position will be contracted through Bosch's external vendor under a one-year agreement.
Department Information:
The EDS department focuses on software tooling development to support embedded products in the Advanced Driver Assistance System (ADAS) domain. We develop tools that streamline software and system development for technologies such as radar, video, and ultrasonic sensors. Serving global teams across Japan, China, Europe, and Vietnam, we contribute to the advancement of secure, safe, and intelligent mobility solutions.
We are seeking a skilled Senior Data Engineer to build and optimize scalable data pipelines supporting AI/ADAS development. The role focuses on end-to-end data loop management, data labeling workflows, and high-quality data handling to enable robust machine learning systems.
Key Responsibilities
- Design and maintain scalable data pipelines for large-scale sensor data (camera, radar, lidar).
- Manage and optimize the AI data loop: data collection → preprocessing → labeling → validation → model feedback.
- Develop automation for data cleaning, transformation, validation, and dataset versioning.
- Maintain and improve labeling workflows, annotation standards, and quality control processes.
- Collaborate with ML engineers to enhance data quality based on model performance.
- Ensure compliance with data governance, privacy, and security requirements.
- Contribute to CI/CD integration and automation of data workflows.
Yêu cầu
Qualifications
Technical Requirements
- Strong proficiency in Python (mandatory) for data processing and automation.
- Experience with Pandas, NumPy; knowledge of OpenCV is a plus.
- Experience with data pipeline tools such as Apache Airflow, Spark, Kafka (or similar).
- Solid knowledge of SQL and/or NoSQL databases.
- Experience with Git, CI/CD concepts, and Docker is an advantage.
- Familiarity with cloud platforms (AWS/Azure/GCP) or on-prem infrastructure.
Preferred Qualifications
- Experience handling ADAS / automotive sensor data.
- Knowledge of labeling tools (e.g., CVAT, Labelbox, Supervisely).
- Understanding of machine learning data lifecycle and active learning concepts.
- Experience working in a global, cross-functional environment.
Additional Information
- Further details regarding benefits will be shared during the interview process
Quyền lợi
Thưởng
13th-month bonus
Chăm sóc sức khoẻ
Private Health Insurance
Nghỉ phép có lương
12 days annual leave
Thông tin khác
NGÀY ĐĂNG
22/05/2026
CẤP BẬC
Nhân viên
NGÀNH NGHỀ
Khoa Học & Kỹ Thuật > Kỹ Thuật Ô Tô
KỸ NĂNG
Python, AI, Data Engineer, Pandas
LĨNH VỰC
Phần Mềm CNTT/Dịch vụ Phần mềm
NGÔN NGỮ TRÌNH BÀY HỒ SƠ
Bất kỳ
SỐ NĂM KINH NGHIỆM TỐI THIỂU
2
QUỐC TỊCH
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Thông tin chung
Nơi làm việc
- Etown Building, 364 Cong Hoa street, Tan Binh Ward, Ho Chi Minh, Vietnam