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In the Ford Advanced Driver-Assistance Systems (ADAS) program, Ford's team designs and develops functional models and hardware that provide best-in-class performance for features like adaptive cruise control, automatic emergency braking, cross traffic alert, active park assist and 360 camera systems.
The ADAS team develops and delivers software for advanced features that make use of machine learning and artificial intelligence in support of features such as Blue Cruise, Pro Trailer Backup Assist, and Pro Trailer Hitch Assist.
In this position...
This position will be responsible for helping to design and deliver core onboard frameworks and offboard tooling to facilitate maximizing the speed and quality at which ADAS hand-code feature content can be delivered.
What You'll Do...
- Work closely with the ADAS feature teams to deliver software solutions to support development of critical software products
- Participate in the design and implementation of core infrastructure frameworks on embedded devices in C++
- Contribute to development of offboard support tooling in Python
- Design and execute test tooling for software verification and validation
- Facilitate integration, testing, and debugging of developed software on target embedded hardware platforms on the bench and in vehicle
- Follow and help shape a process for rigorous production software development and delivery
- Assist with creatively enhancing the software development process for ADAS feature developers
You'll have...
- Bachelors of Science in Computer Science, Software Engineering, or equivalent
- 5+ years of software development in C++
- 2+ years of developing software for embedded platforms
- 2+ years of developing and debugging in a POSIX environment
Ideally you'll have...
- Expertise developing offboard tooling and automation in Python, Bash, and other scripting languages
- Strong experience with Bazel and build toolchains
- Experience with software development for the automotive industry
- A passion for enhancing the software development process for feature content creators
- Familiarity with constructing and optimizing docker images
- Working knowledge of Conan packages and CMake
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