Senior Software Engineer, Perception State Estimation Latitude AI develops automated driving technologies, including L3, for 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 State Estimation team is a group of highly skilled and experienced professionals who specialize in cutting-edge multi-object tracking, scene estimation, and machine learning technology. Together, we collaborate to create advanced Bayesian filters, graph models, and deep learning models that are capable of temporally tracking both static and dynamic actors as well as estimating road features. The State Estimation team is the interface of the perception system to various downstream autonomy consumers including motion planning, prediction, and localization. The team's primary focus is on developing compute-efficient models and systems that can perform a wide range of tasks such as closed world multi-object tracking, track-to-detection data association, object motion forecasting, uncertainty estimation, lane line temporal smoothing, perception based road shape generation, and open world scene tracking and state estimation. The ultimate goal is to take these algorithms from the lab to the road, ensuring that they are optimized for onboard performance and able to function as production-grade perception systems on vehicles. To achieve this goal, the team constantly stays up-to-date with the latest research literature and pushes the boundaries of what is possible. We are dedicated to developing cutting-edge tracking algorithms, ML algorithms, and models that can help vehicles reason about the world around them in real-time. What you'll do: Develop machine learning models and Bayesian filtering algorithms for multi-object tracking, state estimation, and uncertainty estimation Develop estimation algorithms for road feature estimation such as lane lines and speed limit as well as estimating the road shape. Develop forecasting algorithms for actors in the scene to estimate time-to-collision and threat levels for automatic emergency braking Read literature, analyze raw data, and design state-of-the-art solutions Transition solutions from the lab to the test track and public roads to ensure successful production-level implementation Collaborate with perception experts and experienced roboticist on algorithm design, prototyping, testing, deployment, and productization Build and maintain industry-leading software practices and principles Develop clean and efficient software for perception modules interfacing with other key modules Show initiative and be a valued team member in a fast-paced, innovative, and entrepreneurial environment What you'll need to succeed: 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) Relevant knowledge and experience in machine learning, with a proven track record of developing and deploying deep learning solutions using PyTorch or similar frameworks Experience in developing multi-object tracking systems using classical algorithms or machine learning algorithms Strong experience in deep learning, Bayesian filtering, and optimization algorithms Proven experience in shipping perception software products to industry or consumers At least 4 years of development experience in Python/C++ environment Nice to have: Ph.D. with machine learning focus, or equivalent experience Experience developing and deploying machine learning models with compute constraints 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 stipend Adoption/Surrogacy support program Backup child and elder care program Professional development reimbursement Employee assistance program Discounted programs that include legal services, identity theft protection, pet insurance, and more Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives