latitudePittsburgh, PA, Palo Alto, CA, Detroit, MI
On-site Full-time
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Experience Level
Senior
Qualifications
To be successful in this role, candidates should possess the following qualifications:Strong proficiency in C++ and Python programming languages. Experience with motion planning algorithms and robotics. Ability to work collaboratively in a team environment. Excellent problem-solving skills and a passion for technology. Minimum of 5 years of relevant experience.
About the job
Join us at latitude as a Senior Software Engineer - Motion Planning where you will be at the forefront of developing advanced motion planning algorithms. This role is crucial in enhancing our autonomous systems and requires a blend of creativity and technical expertise. You will collaborate with a talented team to innovate and create solutions that shape the future of mobility.
About latitude
latitude is a pioneering technology company dedicated to innovation in autonomous systems. With a commitment to a sustainable future, we leverage cutting-edge technology to enhance mobility solutions globally. Join us in our mission to revolutionize transportation.
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Full-time|On-site|Pittsburgh, PA, Palo Alto, CA, Detroit, MI
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Join our dynamic team at Latitude as a Senior Software Engineer specializing in C++ deployment. In this role, you will be instrumental in designing, developing, and implementing high-performance software solutions that enhance our deployment processes. We are looking for a passionate engineer who thrives in a collaborative environment and is eager to solve complex problems.
Full-time|On-site|Pittsburgh, PA, Palo Alto, CA, Detroit, MI
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Full-time|On-site|Pittsburgh, PA or San Francisco Bay Area or Salem, OR
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Full-time|$149K/yr - $198.5K/yr|On-site|Pittsburgh, Pennsylvania, United States
Mission Overview: Join us as a Senior Software Engineer, where you will be integral in crafting and deploying automated workflows, advanced tooling, and insightful analytics to enhance our autonomy stack's scalability. You will be essential in transforming vast datasets into actionable engineering insights, ensuring our software releases are robust, validated, and road-ready. Your Responsibilities: Create Intelligent Tooling: Design and implement advanced automation to analyze and clarify complex system behaviors, utilizing sophisticated data modeling to expedite solutions. Lead Analytics Development: Spearhead the creation of impactful performance visualization tools that convert raw metrics into clear, actionable insights regarding on-road performance. Enhance Release Engineering: Use your expertise to refine our release processes, moving towards a highly automated deployment framework that preserves quality while boosting efficiency. Advance Simulation Capabilities: Elevate our virtual testing environments, ensuring our simulation suites deliver high-fidelity feedback for comprehensive release understanding. Collaborate Across Teams: Engage within a large, multi-disciplinary codebase to guarantee seamless integration across planning, motion, and controls teams. Qualifications We're Seeking: Significant experience in developing production-grade applications, tools, and pipelines using Python. Proficient in navigating and contributing to large, complex codebases with an emphasis on modularity and documentation. Demonstrated success in delivering software in a production environment, with knowledge of CI/CD, version control at scale, and stringent release cycles. A keen curiosity for data and the ability to derive meaningful patterns from complex, high-dimensional datasets. A strong passion for a driverless future and an understanding of the critical nature of deploying software that interacts with the physical world. Bonus Skills (not mandatory): Experience with C++ in a Linux environment. Familiarity with Machine Learning frameworks or Large Language Model (LLM) integration. Background in robotics middleware (ROS, DDS) or autonomous systems.
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Full-time|On-site|Pittsburgh, PA, Palo Alto, CA, Detroit, MI
Join us at latitude as a Senior Software Engineer - Motion Planning where you will be at the forefront of developing advanced motion planning algorithms. This role is crucial in enhancing our autonomous systems and requires a blend of creativity and technical expertise. You will collaborate with a talented team to innovate and create solutions that shape the future of mobility.
Full-time|On-site|Pittsburgh, Pennsylvania, United States
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Latitude AI (lat.ai) is at the forefront of developing cutting-edge automated driving technologies, including Level 3 systems for Ford vehicles. Our mission is to transform the driving experience, making travel safer, less stressful, and more enjoyable for all.As part of the Latitude team, you will collaborate with leading experts in machine learning, robotics, cloud platforms, mapping, sensors, and safety engineering. Together, we are dedicated to making a significant, positive impact on the driving experience for millions.Operating as a subsidiary of Ford Motor Company, Latitude maintains the agility of a tech startup while developing automated driving technologies. Our headquarters is in Pittsburgh, with additional engineering centers in Dearborn, Michigan, and Palo Alto, California.Join Our Team:The Performance Prediction team is responsible for creating machine learning models, evaluation pipelines, and internal tools that enable us to monitor how autonomous behavior evolves with each software release. We tackle challenges in behavior classification, ride quality assessment, probabilistic trajectory forecasting, and regression analysis for releases.Our systems integrate both classical and modern ML approaches, employing compact classifiers like tree-based models for behavior and ride quality detection, as well as deep learning models for complex autonomy tasks. We also develop the software infrastructure around these models, including dataset definition, feature generation, training workflows, offline metrics, experiment tracking, and tools for regression inspection at detailed levels.This position is ideal for those who thrive on developing reliable Python systems and implementing rigorous ML evaluation methods in safety-critical environments. The work involves a blend of ML systems development, model evaluation, and internal tooling used by various teams across the autonomy spectrum.
Full-time|Hybrid|Pittsburgh, Pennsylvania, United States
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Join Duolingo as a Senior Platform Engineer, where you'll have the opportunity to shape the future of language learning through innovative technology. In this role, you will work closely with cross-functional teams to design, build, and scale our platform to support millions of users worldwide.
Full-time|$179.2K/yr - $268.8K/yr|On-site|Pittsburgh, PA, Palo Alto, CA
Latitude AI (lat.ai) is at the forefront of developing advanced automated driving technologies, including Level 3 automation, for Ford vehicles at scale. Our mission is to reimagine transportation by making journeys safer, less stressful, and more enjoyable for everyone. Joining the Latitude team means collaborating with top-tier professionals in fields such as machine learning, robotics, cloud platforms, mapping, sensors, compute systems, test operations, and safety engineering—all committed to having a meaningful and positive impact on the driving experience for millions. As a subsidiary of Ford Motor Company, we operate with the agility of a tech startup, headquartered in Pittsburgh, with engineering centers in Dearborn, Michigan, and Palo Alto, California.Meet the Team:The Cloud Platform engineers at Latitude are responsible for designing reusable infrastructure through code, allowing our teams to build scalable and secure solutions. They provide guidance on architecting solutions for optimization, ensuring effective changes are automated and reviewed. This role includes managing our workload ecosystem on Kubernetes across public and hybrid cloud environments.The Cloud Platform team collaborates with various engineering groups, including data ingestion, mapping, machine learning, motion planning, and deployment, to enhance development practices and promote scalable efficiency with cloud-native technologies.What You'll Do: Design and scale a multi-tenant, hybrid-cloud Kubernetes platform to facilitate seamless workload portability across both public and internal environments.Create custom Kubernetes operators and self-service abstractions, simplifying complex infrastructure for autonomous vehicle engineering teams.Enhance performance of distributed workloads...
Full-time|On-site|Pittsburgh, PA, Palo Alto, CA, Detroit, MI
Join latitude as a Senior Software Engineer specializing in Machine Learning Integration. In this pivotal role, you will leverage your extensive software engineering skills to drive the integration of machine learning solutions into our cutting-edge software stack. Collaborate with cross-functional teams to innovate and enhance our product offerings while ensuring optimal performance and scalability.
Feb 24, 2026
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