About the role

  • Machine Learning Engineer developing high-performance embedded software for Ford's in-vehicle infotainment systems. Engaging in the software development lifecycle to enhance 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.
  • **Preferred Qualifications**
  • 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.

Benefits

  • Immediate medical, dental, and prescription drug coverage
  • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
  • Vehicle discount program for employees and family members, and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
  • Paid time off and the option to purchase additional vacation time.

Job title

Machine Learning Engineer

Job type

Experience level

SeniorLead

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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