Senior Software Engineer - Autonomy Integration
AI summary of the role
Senior Autonomy Integration Engineer at Latitude AI (Ford subsidiary) responsible for closing integration gaps across a complex autonomous driving stack.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Implement solutions to close integration gaps and solve problems blocking integration progress
- Debug complex system issues spanning multiple teams and hardware/software domains
- Produce configurations and related tests for new platforms, leading the integration efforts for new platforms
- Design, implement, and execute tests to detect regressions and validate system stability
What you’ll bring
- Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years, or PhD)
- Strong software proficiency, particularly in Python and C++
- Exceptional systems-thinking capabilities: ability to connect dots across multiple domains and engineer cohesive solutions
- Capacity to operate fluidly across levels of abstraction from high-level system architecture to low-level algorithmic debugging
Technologies
Python · C++ · robotics · autonomous driving · ADAS · system integration · configuration management
About Latitude AI
Ford subsidiary developing in-house automated driving software (hands-free L2+, eyes-off L3) for next-gen BlueCruise on mass-market Ford vehicles at scale.
Acquired · 500–1000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Latitude AI (lat.ai) is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS platform will debut on the all-new Ford Fathom in 2027. When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to redefining the relationship between people and their vehicles for millions of customers. As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif. Meet the team: The Autonomy Integration team ensures
More from the job description
Latitude AI (lat.ai) is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS platform will debut on the all-new Ford Fathom in 2027. When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to redefining the relationship between people and their vehicles for millions of customers. As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif. Meet the team: The Autonomy Integration team ensures that all integration activities across the product development organization succeed. In the world of complex robotic systems, unforeseen complications and responsibility gaps are inevitable. We are a team of tenacious problem-solvers who use our diverse engineering backgrounds to bridge these gaps, providing critical capacity during the rollout of new features. Our goal is to identify, communicate, prioritize, and resolve integration issues so our partner teams can keep moving forward. Additionally [... source excerpt omitted ...] avigate seamlessly between different levels of abstraction—zooming out to architect system-wide fixes and zooming in to debug low-level component code as the problem demands What you'll need to succeed: Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD) Strong software proficiency, particularly in python and C++ Tenacious attitude to resolving problems and finding root causes Willingness to embrace changing priorities in a dynamic environment “Team-first” mentality with a strong desire to collaborate across orga
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