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

Latitude AI LLC; Northern (KY); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation packages

Health, dental, and vision insurance

401(k) with employer match

Paid parental leave

Unlimited vacation

Wellness stipend

Adoption/Surrogacy support program

Job summary

Latitude AI LLC is seeking a Senior Software Engineering Manager to lead a State Estimation team focused on multi-object tracking and road property estimation. You will guide ML model development, collaborate with robotics and ML teams, and drive production deployments across Ford autonomous driving projects.

The role requires deep expertise in Python/C++, experience with ML CV frameworks, and a track record of delivering end-to-end systems that operate in real-world scenarios.

Qualifications

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field with 10+ years of relevant experience, Master's 8+ years, or PhD 5+ years.
• Experience developing and shipping learned multi-object tracking systems.
• Experience with classical state estimation methods such as Kalman filters and particle filters.
• Proven track record of shipping ML-based CV solutions using PyTorch or similar.

Responsibilities

• Lead a team to deliver multi-object tracking and state estimation features for autonomy systems.
• Develop ML models in modular and end-to-end frameworks and stay current with literature.
• Collaborate with roboticists and ML engineers to deploy solutions into production and verify across systems.
• Contribute as a senior leader in next-gen autonomy development.

Skills

Python

C++

PyTorch

Education

Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or related field

Master's degree in related field

PhD in ML or related field

Tools

Kalman filters

Particle filters

Job description

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

Pittsburgh, PA, Palo Alto, CA, Detroit, MI

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.

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 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.

What you’ll do:

• Lead a team of experts to deliver critical functionality for the next generation of autonomy systems at Ford. This functionality includes (but is not limited to) multi-object tracking, estimation of the 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 for the above goals. Develop ML models in both a modular and E2E framework
• 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

What you'll need to succeed:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 10+ years of relevant experience, 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

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
• Monthly wellness stipend
• Adoption/Surrogacy support program
• Backup child and elder care program
• Employee assistance program