Latitude AI
Senior Software Engineer, Motion Planning
Latitude AI, Palo Alto, California, United States, 94306
Latitude AI (lat.ai) is an automated driving technology company developing a hands-free, eyes-off driver assist system for next-generation Ford vehicles at scale. We're driven by the opportunity to reimagine what it's like to drive and make travel safer, less stressful, and more enjoyable for everyone.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 making a real, positive impact on the driving experience for millions of people.
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 other road users, and generating an optimal trajectory for the vehicle 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, and machine learningExtensively test your algorithms through unit testing, simulation testing in the cloud, log playback and resim, and on vehicle testingDevelop tools for visualization and debugging, and use them to analyze logs from fleet testingAnalyze metrics from fleet testing to prioritize next stepsOptimize the runtime and memory efficiency of the onboard Motion Planning softwareCoordinate with other autonomy teams to ensure that Motion Planning is provided the inputs it needsWhat you'll need to succeed:
The Motion Planning team is looking for deep expertise in either Motion Planning or Software Engineering (or both)The ideal candidate has an advanced degree in Computer Science, Engineering, Robotics, or a related field, and prior industry experience deploying autonomous systemsWhile 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 requiredIndustry experience writing production-quality, performance-critical code, and maintaining large codebases is desiredStrong written and verbal communication skills are requiredWhat we offer you:
Competitive compensation packagesHigh-quality individual and family medical, dental, and vision insuranceHealth savings account with available employer matchEmployer-matched 401(k) retirement plan with immediate vestingEmployer-paid group term life insurance and the option to elect voluntary life insurancePaid parental leavePaid medical leaveUnlimited vacation15 paid holidaysComplimentary daily lunches, beverages, and snacks for onsite employeesPre-tax spending accounts for healthcare and dependent care expensesPre-tax commuter benefitsMonthly wellness stipendAdoption/Surrogacy support programBackup child and elder care programProfessional development reimbursementEmployee assistance programDiscounted programs that include legal services, identity theft protection, pet insurance, and moreCompany and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiativesThe expected base salary range for this full-time position in California is $170,560-$234,520 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude's annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.Learn more about Latitude's team, mission and career opportunities at lat.ai!Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
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all dedicated to making a real, positive impact on the driving experience for millions of people.
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 other road users, and generating an optimal trajectory for the vehicle 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, and machine learningExtensively test your algorithms through unit testing, simulation testing in the cloud, log playback and resim, and on vehicle testingDevelop tools for visualization and debugging, and use them to analyze logs from fleet testingAnalyze metrics from fleet testing to prioritize next stepsOptimize the runtime and memory efficiency of the onboard Motion Planning softwareCoordinate with other autonomy teams to ensure that Motion Planning is provided the inputs it needsWhat you'll need to succeed:
The Motion Planning team is looking for deep expertise in either Motion Planning or Software Engineering (or both)The ideal candidate has an advanced degree in Computer Science, Engineering, Robotics, or a related field, and prior industry experience deploying autonomous systemsWhile 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 requiredIndustry experience writing production-quality, performance-critical code, and maintaining large codebases is desiredStrong written and verbal communication skills are requiredWhat we offer you:
Competitive compensation packagesHigh-quality individual and family medical, dental, and vision insuranceHealth savings account with available employer matchEmployer-matched 401(k) retirement plan with immediate vestingEmployer-paid group term life insurance and the option to elect voluntary life insurancePaid parental leavePaid medical leaveUnlimited vacation15 paid holidaysComplimentary daily lunches, beverages, and snacks for onsite employeesPre-tax spending accounts for healthcare and dependent care expensesPre-tax commuter benefitsMonthly wellness stipendAdoption/Surrogacy support programBackup child and elder care programProfessional development reimbursementEmployee assistance programDiscounted programs that include legal services, identity theft protection, pet insurance, and moreCompany and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiativesThe expected base salary range for this full-time position in California is $170,560-$234,520 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude's annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.Learn more about Latitude's team, mission and career opportunities at lat.ai!Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
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