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:

• Join our Autonomy Evaluation team, the cornerstone of building the platform and metrics that are used to measure system safety & performance. We are a dedicated group of talented engineers with dual mission; not only do we ensure that our system is safe adhering to stringent guidelines and safety regulation but we also ensure that it meets the demanding performing requirements while navigating the complex trade-offs in autonomy stack design 
• Additionally, the team applies rigorous evaluation of data quality, ensuring all performance evaluation data is representative under diverse real-world conditions
• The team is a diverse group of software engineers, automotive sensor experts and expert statisticians
• We operate at the exciting intersection of safety, performance and research. Our environment is collaborative, constantly evolving, and encourages intellectual curiosity and growth. If you are seeking a role where your work will make a significant impact, where you can contribute to advancing the state of the art in autonomous vehicle design evaluation, our Evaluation team is the place to be

What you’ll do: 

• Design, develop, and maintain large-scale data processing and evaluation pipelines in python using tools such as Numpy, Pandas, Ray, and PyTorch
• Automate the evaluation, validation and triaging processes
• Leverage cloud technologies, particularly AWS, LakeFS and BigQuery, to optimize data processing and storage
• Build cloud services for data management, ingest, workflow orchestration, distributed evaluation at scale, and core components of our validation and safety case
• Develop scalable data visualization solutions to present insights effectively
• Monitor and troubleshoot data pipeline issues to ensure reliability and performance
• Stay up-to-date with emerging technologies and best practices in data engineering and visualization
• Document processes, workflows, and solutions for team collaboration and knowledge sharing

What you'll need to succeed:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 2+ years of relevant experience, Master's degree, or PhD
• 2+ years of experience in the complete software product development cycle from concept to launch: developing, testing, and maintaining, and 1 year of experience with software design and architecture 
• Experience building scalable data platforms for real-time and batch processing
• Proven experience in Python programming
• Hands-on experience with Dagster for workflow automation
• Proficiency in cloud technologies, particularly AWS (e.g., S3, EC2, Lambda) and BigQuery
• Proficiency with Docker and Kubernetes (K8s) for containerization and orchestration
• Familiarity with open-source tools and frameworks for data processing and visualization
• Experience with scalable data visualization solutions (e.g., Steamlit, Grafana, Superset)
• Excellent communication and teamwork skills
• Ability to work in a fast-paced, dynamic environment

Nice to have: 

• Masters degree or higher in Computer Science, Robotics Engineering, or a related field
• Experience with C++ programming
• Experience in modern ML technologies such as PyTorch, Ray, Weights&Bias, etc
• Experience with Bazel for build and test automation

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
• 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
• 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 $143,200-$196,900 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.