Senior Data Engineer, AI / ADAS Data Loop

Senior Data Engineer, AI / ADAS Data Loop at Bosch
\[EDS\] Senior Data Engineer (AI / ADAS Data Loop) (1 year contract)
Location: Tân Bình, Thành phố Hồ Chí Minh, vn
Company Description
**_The Bosch Group_** _is a leading global supplier of technology and services. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. With technology that is “Invented for life,” Bosch wants to help improve quality of life and conserve natural resources._
_The Bosch Group comprises_ **_Robert Bosch GmbH_** _and its roughly 490 subsidiary and regional companies in over 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. Bosch’s innovative strength is key to the company’s further development._
**_Bosch Global Software Technologies Company Limited (BGSV)_** _is 100% owned subsidiary of Robert Bosch GmbH, offering end-to-end Engineering, IT, and Business Solutions._
_Starting its operation from 2010 at Etown 2 in HCMC, BGSV is the first software development center of Bosch in Southeast Asia. BGSV nowadays have over 4,000 associates, with a global footprint and presence in the US, Europe, and the Asia Pacific region. With our unique ability to offer end-to-end solutions that connect sensors, software, and services, we enable businesses to move from the traditional to digital or improve businesses by introducing a digital element in their products and processes._
_BGSV currently operates from_ **_three offices_** _located at the following addresses:_
_1\._ **_Etown Building_** _– 364 Cong Hoa Street, Tan Binh Ward , Ho Chi Minh City, Vietnam_
_2\._ **_OfficeHaus Building_** _– 32 Tan Thang Street, Son Ky Ward, Tan Phu District, Ho Chi Minh City, Vietnam_
_3._ **_Capital Place Building_** _– 29 Lieu Giai Street, Ngoc Khanh Ward, Ba Dinh District, Hanoi, Vietnam_
Job Description
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 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.
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