# Dongcheng Jin

> Embedded Software Engineer

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/dongcheng

## Work Experience
### Senior Software Engineer @ Johnson & Johnson MedTech
Jan 2023 – Jan 2024 | San Francisco Bay Area
Work for flex surgical robotics as an embedded software engineer. 
Part of firmware team, working on implementing robots components control and firmware updates function in C++ with RTI DDS and EtherCat.
Helping tools team to implement the surgical device automatic calibration program using Python.

### Software Engineer @ Nuro
Jan 2021 – Jan 2022 | Mountain View, California, United States
Design and implement software that runs on autonomous vehicles and FMCW radar sensors. 
Use C/RTOS for radar firmware, and C++/ROS for Onboard software. Solve critical software problems to perform a time-sensitive radar datapath between vehicle and radar sensors.

### Software Engineer II (Embedded) @ SERES EV
Jan 2020 – Jan 2021 | Santa Clara, California, United States
Member of Intelligent Connectivity Vehicle OTA team, Developing C/C++ program under an embedded Linux environment. 
Responsible for implement a multi-thread, multi-process program for vehicle OTA. 
Design the API for In-Vehicle Infotainment (IVI) System and help to do the system design between UI and OTA project.
Help design Vehicle OTA subsystem standards and co-work with the vendor’s team. Collaboration with JIIR and git(bitbucket) to manage the code.

### Software Engineer (Embedded) @ SERES EV
Jan 2019 – Jan 2020
Implement the communication process with a cloud platform using MQTT, JSON, and RESTful. Implement the algorithms for verification property.
Design a CAN bus trace logging system as a debugging tool, use a variety of data structures to optimize the performance.

### Software Engineer (ADAS) @ SERES EV
Jan 2019 – Jan 2019
Help on developing function part using C++ on ADAS under Linux system with ROS/DDS.
Implement several software test cases using Python to simulate and test programs.
Design and reimplement several traffic lane detection technics like Kalman filter and Delaunay triangulation using C++ and Python.

### Machine Learning Research Assistant @ School of Engineering and Technology, IUPUI
Jan 2019 – Jan 2019 | Indianapolis, Indiana Area
Implement real-time fish detected using OpenCV and Mask-RCNN in Keras.
Implement the RCNN with Resnet50 in DNNDK and transfer the project to FPGA.

### Image Analysis Research Assistant @ School of Engineering and Technology, IUPUI
Jan 2013 – Jan 2014
Multidisciplinary University Research Initiative (MURI) - 3D Volume Registration Techniques Applied to Neurosurgery Project. 
Exploring a fast and effective surface registration algorithm to register a 2D plus depth map onto surface model from the MRI data of human skull.
Implemented ICP(Iterative Closest Point) algorithm using C-Language (2000+ lines) which can locate similar point between associated neighborhood MRI slice. (Core math part calling Matlab API).
Improve code execution efficiency, optimization code can reduce 125% execution time (from 24+ hours to 8.5 hours) which can get a point set of 3D model as output.


## Education
### Master of Science - MS in Electrical And Computer Engineering
School of Engineering and Technology, IUPUI

### Bachelor’s Degree in Electrical and Electronics Engineering
School of Engineering and Technology, IUPUI


## Contact & Social
- LinkedIn: https://linkedin.com/in/dongchengjin

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Source: https://flows.cv/dongcheng
JSON Resume: https://flows.cv/dongcheng/resume.json
Last updated: 2026-03-29