Embedded Software Engineer

This is an opportunity to join a fast-paced program with DCS Corp’s U.S. Army Combat Capabilities Development Command - Ground Vehicle Systems Center engineering group located in Warren, MI. As an experienced Software Engineer, you will work alongside our U.S. Army Software Engineering Center customer, applying your knowledge and skills by providing technical engineering services that support the development of software requirements, architecture, design, code and test for the JLTV Program.

Essential Job Functions:

Software Development following organizational standard software processes.

Experience in handling requirement specs and developing and implementing the functions per requirement.

Understanding of SysML, sequence diagrams, activity diagrams.

Working well with others to learn and resolve technical obstacles (problems).

Design software following defined architectures.

Implement and unit test software.

Required Skills: 

Due to the sensitivity of customer related requirements, U.S. Citizenship is required. 

Must be able to obtain and maintain a DoD Secret clearance.

Bachelor’s degree in engineering with 5 years of experience. 

Technical expertise with C, C++ development and building complex systems.

Knowledge using RTOS. (Real Time Operating System such as Vx Works).

Work well with others to learn and resolve technical problems.

Interfacing with cross functional teams and effective communication.

Experience and working in cloud environment, Bitbucket , Atlassian tools, JIRA, Confluence and standard software development and release process.

Experience in Agile development environment using opensource tools.

Ability to troubleshoot and debug issues.

Vehicle communication protocols CAN, LIN and experience in defining or using CAN DB (CAN Database files).

Understanding of Vehicle bus architecture (BCM ( Body Controls) and ECM (Engine Control Module)) using CAN tools ( Vector tools or CAN COTS).

Technical Skills:

C, C++, JavaScript.

RTOS - Vx Works.

Protocols: CAN, Cloud Environment: MS Azure.

Tools: BitBucket, Jira, Confluence, Vector CANoe, CANalyzer).

Build knowledge using Make.

Git command / repository knowledge.