ADAS Embedded SW Engineer at Ford Global Career Site

Dearborn, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Mar, 26

Salary

0.0

Posted On

08 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Embedded Software, Model Based Design, Testing, Driver Assistance Technologies, Control Algorithms, Matlab, Simulink, Data Collection, Test Management Tools, Defect Management, Automated Testing, Debugging Tools, Hardware In The Loop, Test Bench Setup, Agile Scrum, Collaboration

Industry

Motor Vehicle Manufacturing

Description

Design, develop, and integrate the embedded software platform for feature applications in Ford's next-generation ADAS systems. Demonstrate commitment to quality by applying best practices to modelling/coding standards, static analysis, model/requirement/code coverage, model- testcase reviews. Support real-world testing of ADAS features, working closely with partner teams. Support the SW requirement development, modeling , code generation and different levels of testing for the developed features. Flash, validate and debug your code in bench and HIL setups, and in pre-production and prototype vehicles. Conduct the verification and validation of ADAS related model-based software Develop test procedures, plans, automated scripts, and cases Perform automated and manual test execution (MIL / SIL / Bench), results analysis, root cause analysis, and verifications Define the test setup required to support validation and verification activities. For example, identify the equipment, tools, licenses, hardware, test systems (i.e. HiL), etc... needed and support test bench bring up Identify test dependencies such as specifications, interfaces, compliance, hardware, software components, etc... Determine opportunities and provide support for automation and tooling Contribute to team results through ownership in agile scrum development sprints Collaborate cross-functionally with technical specialists, feature owners, development teams, and other test teams in support of testing and development activities Highlight your technical leadership amongst a team of highly energized and collaborative peers in a fast-paced environment. Established and active employee resource groups Bachelor's Degree in Software Engineering, Computer Engineering, Electrical Engineering or Computer Science 2+ year of experience with embedded (Model Based Design) software implementation 2+ years of experience testing embedded software 3+ years of experience as an SW/ MBD developer Understanding of Feature specifications, FMEAs, robustness disciplines and Design Verification Plan Understanding of performance requirements and the interactions with other features and the system, and establish procedures to verify performance both quantitatively and subjectively Experience with control algorithms using Matlab, Simulink or equivalent Experience working on Driver Assistance technologies using radar, cameras, sensors, or similar Experience with data collection and analysis, ideally in driver assist technology Proven ability working with Test Management tools for test strategy development, test case development, test execution (manual and automated), and test metric reporting Demonstrated ability to work with defect management system (e.g. JIRA) Ability to interpret C/C++, Java code, or logs to aid in issue resolution Experience working with automated test systems and test script development Experience with Matlab, Shell scripting, Jenkins, GitHub, Linux development Experience with low level debugging tools (Lauterbach ICE, Wireshark, Oscilloscope, etc .) Experience with automated testing environment, frameworks, and programming languages (ex: Simulink Test, BTC etc) Experience with using hardware in the loop (HIL) systems and with test bench setup Experience with debuggers and CAN tools such as CANalyzers or similar test equipment

Responsibilities

The engineer will design, develop, and integrate embedded software for Ford's next-generation ADAS systems while ensuring quality through best practices. They will also support real-world testing and collaborate with various teams to validate and verify ADAS features.