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 Virtual Test Ecosystem (VTE) team is responsible for implementing the tooling used by Latitude to perform simulations (pure virtual scenarios where we can control interactions and sweep over permutations via a descriptive scenario language) and resimulations (rerunning logs collected on-vehicle using an updated version of the autonomy stack). This includes the backend C++ simulation/resimulation frameworks that call the underlying autonomy tasks and Python-based tooling to run this at large scale in the cloud. This infrastructure enables us to do a large portion of testing before the code ever makes it on vehicle, dramatically reducing autonomy developer iteration time and allowing us to perform large-scale safety testing.

We work closely and iteratively with autonomy teams to build out new sim/resim features that they need in order to evaluate their new autonomy features. Similarly, we work hand-in-hand with the offboard testing teams who are building out test coverage to ensure they can use our tooling to write the tests they need and to get feedback on how we can make this test creation more efficient. And of course we’re constantly benchmarking and evaluating the efficiency and scalability of our applications in order to reduce runtimes and cost.

What you’ll do: 

• Implement the parser code which takes a definition of a sim scenario, parses it, and plumbs it through so that the backend simulation engine can execute the desired scenario (placing actors in desired locations, coordinating interactions between the actors and AV, etc.)
• Work closely with the autonomy developers and scenario creation team to understand new requirements (we’re constantly increasing our ODD and implementing new autonomy features), determine the best way to express that in the scenario definition, then implement it.
• Discuss pain points with simulation users (what’s difficult to express in the scenario definitions, what’s difficult to maintain, what’s confusing when there are errors, etc.) and then propose and implement solutions.
• Implement mechanisms for allowing key scenario parameters to express a range of values which are then sampled efficiently
• While the main focus is on tooling related to scenario creation, also provide support related to other backend sim infrastructure updates (how messages flow through the system, how we interact with vehicle logs and maps, etc.)
• Through your work, you’ll be enabling users to create a rich set of scenarios which validate the safety and comfort of our AV, then running it in a highly scalable cloud 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)
• Expertise in modern C++ (C++17)
• Self-driven to write code that’s efficient, well-tested, well-documented, and conforms to our style guide
• 3+ years’ experience with developing complex parsing software
• Strong communication skills and desire to partner with internal and external team members in order to create solutions that robustly solve the problem and allow us to evaluate the safety and performance of new features

Nice to have: 

• Python experience for day-to-day automation tasks
• Knowledge of entity component systems and event-driven architecture

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

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

The expected base salary range for this full-time position in California is $179,200 - $268,800 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.

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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