Machine Learning Engineer

Ford Motor Company believes in the freedom of movement and is looking for a Machine Learning Engineer to join their In-Vehicle Infotainment team. In this role, you will design and develop high-performance embedded software for Ford’s infotainment systems, ensuring a seamless user experience.

Responsibilities:

• Design, develop, and maintain high-performance embedded software using C++ for the QNX operating system
• Engage in the full software development lifecycle (SDLC) to deliver robust features for Ford’s in-vehicle infotainment systems
• Analyze and optimize system components to improve overall performance, security, and stability
• Implement new software features and functionalities that directly enhance the Ford customer experience
• Identify, debug, and resolve complex system-level issues to ensure high-quality software releases
• Utilize Git for revision control and manage complex code merges and versioning workflows
• Work collaboratively with cross-functional teams and business partners to present technical solutions and project status in a clear and concise manner

Requirements:

• Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field
• 10+ years of professional Software Development experience
• Expert-level proficiency with C++
• Proficiency with Git for revision control and collaborative development
• Deep understanding of the complete software development lifecycle, from requirements to production maintenance
• Direct experience developing software on embedded QNX or Android platforms
• Familiarity with Agile development processes and methodologies (Scrum, Kanban, etc.)
• Experience in system-level hardening and security best practices for embedded environments
• Proven track record of optimizing software for resource-constrained hardware to improve boot times and UI responsiveness