Senior Software Engineering Manager - Multi-Object Tracking & State Estimation

About the Role

Latitude AI (lat.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.

The State Estimation team is responsible for multi-object tracking and scene estimation, in both a classical physics-informed and modern ML sense. Collaborating with other ML teams, systems engineering, and product management, State Estimation builds advanced models that blend the best of the research literature with the needs of industry to estimate long-duration characteristics (e.g. kinematics, shape, etc) of both actors and road features. State Estimation is the interface of the perception system to various downstream autonomy consumers including motion planning, prediction, and localization. The team takes these algorithms and models from the lab to the road, and directly powers production grade perception systems on our vehicles.

Responsibilities

• Lead a team of experts to deliver critical functionality for the next generation of autonomy systems at Ford, including multi-object tracking, estimation of road properties (such as lane markings, road shape, topology, etc) over time, and pre-collision assist/automatic emergency braking.
• Stay current with literature, analyze current system performance, and design state-of-the-art solutions with the team.
• Develop ML models in both modular and end-to-end frameworks.
• Collaborate with expert roboticists and ML engineers and scientists to integrate and deploy State Estimation solutions into production.
• Analyze failures and collaborate with systems engineering to develop verification and validation cases, and take ideas from concept into mass production.
• Participate as a senior leader in next-generation autonomy development towards the Ford Large Driving Model.

Requirements

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics, or a related field and 10+ years of relevant experience, or Master's degree and 8+ years of relevant experience, or PhD and 5+ years of relevant experience.
• Experience developing and shipping learned multi-object tracking systems.
• Experience with classical state estimation methods, such as Kalman filters (and varieties thereof), particle filters, etc.
• Significant experience with Python and/or C++.
• Significant experience in computer vision, perception, and machine learning.
• Proven track record of shipping machine learning-based solutions to computer vision problems using PyTorch or similar (TensorFlow, JAX, etc).

Nice to Have

• Ph.D. with focus on machine learning, or equivalent experience.
• Track record of shipping end-to-end computer vision systems.

Benefits

• 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.

Pay

The expected base salary range for this full-time position in California is $253,120 - $379,680 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.