Algorithm Engineer

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Summary

Location

Jiading District, China

Work

Full-time

About this Job

Req ID 87635 | AutoR&D Shanghai, China, ZF Automotive Technologies (Shanghai) Co., Ltd.

About the Team

This position is part of ZF’s ADAS & HPC business, which is entering an exciting new phase of growth and transformation within the advanced automotive technology space. The business unit is planned for divestiture, creating a unique opportunity to help shape the future of next-generation driver assistance and high-performance computing technologies.

What you can look forward to as an Algorithm Engineer:

  • Design and iterate multi-modal fusion algorithms for camera, millimeter-wave radar and etc. Implement core functions including 3D object detection, multi-object tracking, classification, velocity & pose estimation, and environmental semantic modeling.
  • Responsible for the overall system architecture design, interface definition and data flow optimization of the perception fusion module. Establish standard pipelines for sensor time synchronization, coordinate unification, cross-sensor object association and fusion confidence evaluation.
  • Analyze massive real road test data, identify and resolve core perception issues including false detection, missing detection, object jitter and trajectory drift under challenging scenarios. Complete full-loop algorithm tuning and strategy iteration to improve the stability, accuracy and consistency of 360° full-scene perception for mass-production vehicles.

Your Profile as an Algorithm Engineer:

  • Master’s degree or above in electrical engineering, robotics engineering, computer science, automotive, mechanical engineering.
  • Proficient in core fusion theories including Kalman Filter, data association, Hungarian algorithm, Bayesian estimation and multi-object tracking. Solid knowledge of 3D geometry, coordinate transformation.
  • Proficient in C++ and Python programming. Familiar with Linux development environment, CMake compilation and debugging tools.
  • Practical experience with Sparse4D, BEV Fusion, Memory Bank and other state-of-the-art temporal perception fusion frameworks.
  • Strong analytical and problem-solving skills.
  • Strong sense of ownership and accountability, teamwork.
  • Fluent English oral and written skills to communicate with global algorithm team.

Why you should choose ZF in Shanghai?

  • Individual Growth: At ZF, you accelerate your career by working together across borders and cultures. Take advantage of global development opportunities, support and a flexible working environment.
  • Experience Variety: Join ZF to shape future mobility and sustainable systems. Drive smart solutions and contribute to safer, cleaner, affordable mobility for all.
  • Find Inspiration: Develop yourself in a team-oriented and supportive environment at ZF. Take on international challenges, be inspired by your colleagues and shape the future with us.

Be part of our ZF team as Algorithm Engineer and apply now!

Contact

Fangyuan Shen

amanda.shen@zf.com

About the Company

ZF Group logo

ZF Group

Privately Held
Automotive ManufacturingRobotics Hardware & ComponentsRobotics Software & AI

ZF is a global technology company supplying advanced mobility products and systems for passenger cars, commercial vehicles and industrial technology. Its comprehensive product range is primarily aimed at vehicle manufacturers, mobility providers and start-up companies in the fields of transportation and mobility. ZF electrifies a wide range of vehicle types. With its products, the company contributes to reducing emissions, protecting the climate as well as enhancing safe mobility. Alongside the automotive sector – passenger cars and commercial vehicles – ZF also serves market segments such as construction and agricultural machinery, wind power, marine propulsion, rail drives and test systems. With some 161,600 employees worldwide, ZF reported sales of €41.4 billion in fiscal year 2024. The company operates 161 production locations in 30 countries. For further press information and photos please visit: www.zf.com Imprint: https://www.zf.com/site/meta/en/imprint.html Data Protection: https://www.zf.com/master/media/en/corporate/m_zf_com/meta/data_protection_social_media/Data_Protection_Notice_Social_Media_EN.pdf

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