Position: [DAPI] [Ukraine] Senior SW engineer (IRC115779)
Company: GlobalLogic
Experience required: 3y
English level: upper

Job Description

Requirements

- 3+ years in SW development
- C++ (11/14) development experience
- QNX experience: IPC, treading
- Asynchronous programming
- Unix development experience: CMake, CLI, GDB
- Code quality: gtest, gmock, cpplint, cppcheck
- Cloud communication background: WebSockets, RestAPI, Google Protobuf
- Knowledge in Networking: network sniffing, TCP/IP, Zuul
- Good knowledge of VCS (Primary GIT/Gerrit/Repo)
- Analytical and Problem-Solving Skills
- Good communication and collaboration skills (ability to communicate with customers, make presentations of the archived results, Discuss Requirements architecture).

Will be a plus

- Python development experience


Job Responsibilities

As a Senior SW Engineer (DataAPI team) you will be involved in:

- In cooperation with OEM’s software developers and architects developing SW the next generation of the in-vehicle diagnostic platform
- Design a networking protocol to gather diagnostics data within the vehicle and send them to the cloud
- Setting up communication with the rest of the vehicle control units
- Profiling existing solutions to make them more efficient and less resource-consuming

 
Department/Project Description

Due to intensive growth, the GlobalLogic Automotive department is glad to invite Embedded Software Engineer to an Automotive project. 

The project aim is to optimize, extend with new features Automotive Solution. Our clients are Tier 1s and OEMs from Europe and the USA and development are targeted to Automotive Solution what will be deployed in the newest European cars. The project is considered technical excellence and we are paying huge attention to the technical challenge motivation of our team members as well as excellence compensation. 

At our project, we are building a computer-in-the-car architecture - key for enabling innovation within areas such as advanced connectivity, machine learning, and autonomous drive