- Robot type
- Autonomous Vehicle
- Location
- DetroitMichiganUSA
- Job type
- Software
- Posted
- Feb 24, 2026
- Salary
- $179,200–$268,800 a year
Senior Software Engineer - Prediction
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
- Integrate and optimize algorithms and models for predicting the future behavior of other traffic participants in real time and planning a proper response
- Measure the statistical properties and quality of predictions and plans
- Build a system that safely handles nominal and out-of-distribution driving events
- Evaluate and verify the system's performance on real-world and simulated data
- Improve and deliver reliable software through continuous integration, automated testing and code reviews
- Collaborate across different teams to jointly achieve objectives in improving system performance
- Monitor system performance and ensure designs and implementation stay within resource constraints
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)
- Fluency in modern C++ including good software design skills and experience with Python
- Familiarity with PyTorch, ONNX and deployment/optimization of models is desired
- Knowledgeable in areas pertaining to probabilistic inference, probability theory, statistics
- Application of Machine Learning in classification, regression, time series forecasting
- Willingness to dive into anything, but know when to ask for cross team collaboration
- Industry experience writing production-quality, performance-critical code, and maintaining large codebases is desired
- Strong written and verbal communication skills are required
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