Embedded Software Engineer

3 weeks ago


Dearborn, Michigan, United States Optimal CAE Full time
Job Title: Embedded Software Engineer - Model Based Developer

Job Summary:
Optimal CAE is seeking a skilled Embedded Software Engineer - Model Based Developer to accelerate the use of automation in the simulation and software development processes. The ideal candidate will focus on driving breakthroughs in development and testing efficiency by working with various Ford software, controls, and simulation teams.

Key Responsibilities:
Develop desktop and cloud solutions to increase speed and robustness of the embedded control software build, simulation, and test pipeline.
Collaborate with the Ford IT, Software, and Data teams to research and roll out process, methods, and tools associated with software simulation, build, and test initiatives.
Create web-based tools and standard dashboards to share simulation and software build and test status information with development teams.
Develop state-of-the-art cloud-based solutions for simulation and software build and test, utilizing High Performance Compute and cloud environments.

Requirements:
Master's degree in engineering or computer science.
3+ years of Matlab / Simulink / Stateflow experience.
3+ years of programming background (Python, C, C++, Java, or Matlab m-script).
3+ years of version control and automation experience (ClearCase, AccuRev, GitHub, Jenkins).
1+ years of cloud-based tools usage (Docker, Kubernetes, etc.).

Preferred Qualifications:
Degree in Electrical / Mechanical / Automotive / Computer Engineering or Controls related field.
3+ years of experience in automotive controls or systems engineering.
Significant experience with Matlab, Simulink, Stateflow.
Experience with CAN networks and tools (CANalyzer, CANape, ATI Vision, etc.).
Experience in embedded controls in electrified vehicle systems, driver assist technologies.
Experience in requirements definition, decomposition, design verification.
Experience with hands-on software testing and problem solving in simulation, hardware in the loop systems, and prototype vehicles.
Broad understanding of embedded control system design and analysis techniques.

Experience with tools for:
Virtualization environment tools (Docker, Vagrant).
Deployment tools (Habitat, Chef).
Containerization (Kubernetes).
Automation (Jenkins).

What We Offer:
Opportunity to work with a variety of Ford software, controls, and simulation teams.
Collaborative and dynamic work environment.
Professional development and growth opportunities.
Competitive salary and benefits package.

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