Position Details

Type Full-Time

Experience senior

Exp. Years 10+ years

Education Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field

Category AI & Machine Learning

About this role

Join Ford Motor as a Machine Learning Engineer focusing on embedded automotive software, particularly in infotainment systems. The role involves developing, optimizing, and maintaining software for vehicle user experiences using C++, QNX, and Android platforms.

Key Responsibilities

Develop embedded software
Optimize system performance
Maintain software lifecycle
Collaborate on vehicle digital experience
Ensure security and resource efficiency

Technical Overview

This position requires expertise in C++, embedded systems, QNX, Android, and software lifecycle management, with a focus on automotive infotainment hardware and software optimization.

Ideal Candidate

The ideal candidate is a senior software engineer with over 10 years of experience in C++ and embedded systems, specializing in automotive infotainment platforms. They are familiar with QNX and Android environments, capable of optimizing software for resource-limited hardware, and experienced in full software lifecycle management.

Must-Have Skills

Expert-level proficiency with C++Experience with embedded systemsKnowledge of QNX operating systemExperience with Git

Nice-to-Have Skills

Experience developing on Android platformsAgile methodologiesSystem-level securityResource optimization

Tools & Platforms

GitQNXAndroid

Required Skills

C++Embedded systemsQNXAndroidSoftware development lifecycleGit

Hard Skills

C++Embedded systemsQNXAndroidSoftware development lifecycleGit

Soft Skills

Self-motivatedInitiativeLearning mindsetProblem-solvingCollaboration

Industry & Role

Industry Automotive Technology

Job Function Embedded automotive software development and optimization

Keywords for Your Resume

C++Embedded systemsQNXAndroidSoftware development lifecycleGitSystem-level optimizationAutomotive softwareIn-vehicle infotainmentEmbedded softwareResource-constrained hardware

Deal Breakers

Lack of extensive C++ experience, No embedded systems background, No experience with QNX or Android, Inability to work remotely

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