- Robot type
- Autonomous Vehicle
- Location
- DetroitMichiganUSA
- Job type
- Software
- Posted
- Oct 30, 2026
- Salary
- $150,320–$225,480 a year
Software Engineer II - Offboard Python Application
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…
Job responsibilities
- We run vehicle simulations at unprecedented scales in order to ensure we’re releasing a safe product. You’ll support this via improvements to our sim/resim cloud framework and applications that run on this framework.
- It’s not enough to have a framework that is functional - it needs to be intuitive and easy to use. We take our best guesses at this, but things evolve over time based on user interaction - both direct feedback as well…
- We also can’t build it all, so we want to make the framework well-documented and as self-serve as possible for others to extend it (while being there to answer questions).
- In order to run logs through resim, we need to first know what logs are interesting. You’ll contribute to the ecosystem of how we manage storing and searching for these logs efficiently, including how we automate…
- Once we’ve run resim, we want to do something with the updated logs. Frequently this involves metrics to analyze the AV’s performance;
Job requirements
- 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)
- Expertise in writing Python code that’s efficient, well-documented, and well-tested
- 2+ years’ experience writing scalable applications that execute in a cloud or HPC environment
- 2+ years’ experience writing software that interacts with AWS and/or GCP services
- Familiarity with NumPy and scientific programming
- Willingness and desire to learn how onboard and offboard components interact with each other and propose solutions to improve how developers and testers work with both systems
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