Job Opportunities API

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 Ford’s all-new Universal Electric Vehicle 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 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 What you'll need to succeed: 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 What we offer you: Competitive compensation packages High-quality individual and family medical, dental, and vision insurance Health savings account with available employer match Employer-matched 401(k) retirement plan with immediate vesting Employer-paid group term life insurance and the option to elect voluntary life insurance Paid parental leave Paid medical leave Unlimited vacation 15 paid holidays Daily lunches, snacks, and beverages available in all office locations Pre-tax spending accounts for healthcare and dependent care expenses Pre-tax commuter benefits Monthly wellness stipen