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 Autonomy Analytics team is responsible for evaluating the performance of our autonomous software using data, statistics, and machine learning. Combining data from real-world testing with our extensive simulations, our team builds the metrics and analytics that ensure our product is safe, reliable, and delights our customers.
Our team is spread geographically with some members on-site in Pittsburgh, Palo Alto, and Dearborn. Others work fully remotely. We come from backgrounds ranging from test engineering to robotics to data science to computer science.
What you’ll do:
- Lead development of automated analysis to evaluate the performance of our automated driving technology.
- Work closely with cloud infrastructure engineers to develop pipelines for processing our data at scale.
- Partner with our systems engineering teams to define requirements, processes, and procedures for product evaluation.
- Liaise with autonomy engineers to ensure our analysis empowers them to iterate quickly and ship confidently.
- Develop tooling, processes, and procedures for verifying and validating our measures of performance.
- Mentor engineers both within our team and externally.
What you’ll need to succeed:
- Bachelor’s degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 7+ years of relevant experience (or Master’s degree and 5+ years of relevant experience, or PhD and 2+ years of relevant experience)
- Strong opinions on designing metrics and forecasting system performance.
- Extensive experience in large scale data analytics.
- Expertise in Python and SQL.
- Superb communication skill both verbally and in writing; can communicate effectively with both technical and non-technical audiences.
- A track record of working across teams to deliver company-level impact.
Nice to have:
- Experience in autonomous driving systems.
- Experience with robotics and machine learning.
- Experience in system verification and validation.
- Knowledge of perception, prediction, motion planning, and computer vision.
- Proficiency in C++.
- Knowledge of cloud computing architectures.
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
The expected base salary range for this full-time position in California is $207,760-$285,670 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.
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.
