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# Software Engineer - Motion Planning

- **Company:** Latitude Inc
- **Location:** Pittsburg, CA, United States
- **Experience:** Expert
- **Salary:** $179,200.0 - $268,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Unit Testing, Computer Engineering, Convex Optimization, Software Debugging, Python (Programming Language), Log Analysis, Machine Learning, Motion Planning, Routing, Computational Geometry, Software Engineering, Reinforcement Learning, Information Technology
- **Published:** May 28, 2026
- **Apply:** https://www.dice.com/job-detail/365f8b5b-d7f0-40c3-aeb0-62e419973f3a

## About the Role

* The Motion Planning team is looking for deep expertise in either Motion Planning or Software Engineering (or both)
 * 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)
 * While breadth is helpful, a depth of knowledge and application experience in a relevant Robotics/ Motion Planning subspecialty is most desirable. Examples of relevant subspecialties include: graph or sampling-based planning in high-dimensional state spaces, computational geometry, behavioral planning and decision making, planning under uncertainty (POMDPs etc.), model-predictive planning and control, convex optimization, reinforcement learning, imitation learning, etc
 * A baseline level of skill in modern C++ programming and software engineering is required for all team members, even Motion Planning domain experts. Python programming experience is also helpful but not required
 * Industry experience writing production-quality, performance-critical code, and maintaining large codebases is desired
 * Strong written and verbal communication skills are required

## Description

The Latitude AI Motion Planning team brings all the components of the autonomy stack together. The Motion Planning team takes inputs from perception, prediction, and mapping and plans how to safely yet comfortably navigate complex driving scenarios. This involves routing to the desired destination, making high-level decisions with respect to driver input and other road users (including vehicles, cyclists, pedestrians, etc.), and generating an optimal trajectory for the AV to execute.

What you'll do:

 * Design and develop algorithms in one or more areas of the Motion Planning stack, ranging from route planning, behavior planning, trajectory optimization, decision making, and machine learning
 * Extensively test your algorithms, through unit testing, simulation testing in the cloud, log playback and resim, and on vehicle testing
 * Develop tools for visualization and debugging, and use them to analyze logs from fleet testing
 * Analyze metrics from fleet testing to prioritize next steps
 * Optimize the runtime and memory efficiency of the onboard Motion Planning software
 * Coordinate with other autonomy teams to ensure that Motion Planning is provided the inputs it needs


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