Senior Software Engineer - Machine Learning - Multi-Object Tracking

latitude

Dearborn, Michigan, United States, Palo Alto, California, United States, Pittsburgh, PA, United States, Remote · Dearborn · Remote

Posted Jun 3, 2026

Other
On-site
Intelligent Systems

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Job description

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 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 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, road shape 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 spatio-temporal machine learning models for multi-object tracking and uncertainty estimation.
Develop machine learning models to estimate road features, lane markings, road shape and road topology
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 in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 2+ years of relevant experience)
Experience in developing multi-object tracking systems using machine learning models
Relevant knowledge and experience in machine learning, with a proven track record of developing and deploying deep learning solutions using PyTorch or similar frameworks
Strong experience in computer vision, perception, and deep learning
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 (optional):

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 and Adoption/Surrogacy support program
Paid medical leave
Unlimited vacation and 15 paid holidays
Complimentary daily lunches, beverages, and snacks for onsite employees
Pre-tax spending accounts for healthcare and dependent care expenses
Pre-tax commuter benefits
Monthly wellness stipend
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

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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