$150,320–$225,480 Per Year
Aged Care, Artificial Intelligence (AI), Automation, Autonomous Driving Systems, Beverages, Cataloguing, Childcare, Cloud Computing, Computer Engineering, Computer Science, Computer Systems, Continuous Deployment/Delivery, Continuous Integration, Data Analysis, Data Modeling, Dental Insurance, DevOps, Electrical Engineering, Employee Assistance Plan, Establish Priorities, Healthcare, Machine Learning, Machine Tool, Metadata, OLAP (OnLine Analytical Processing), Open Source, Operational Measurement, Privacy Controls, Product Engineering, Python Programming/Scripting Language, Reimbursement, Release Management/Engineering, Robotics, SQL (Structured Query Language), Safety Engineering, Scalable System Development, Security Design, Software Engineering, Startup, Structured Data, System Operations, System Test, Systems Engineering, Test Automation, Testing, Vehicle Fleets, Vision Plan
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
As Latitude's Data Platform team, our mission is to build the scalable, high-performance infrastructure that turns structured data into insight to drive Latitude's business forward. We provide foundational solutions for handling, processing and visualizing large-scale data to ensure every team at Latitude-from Autonomy to Machine Learning to Fleet Operations-can measure what matters.
We Promote Data as a Product
We promote data as a product; this means applying rigorous software engineering discipline to data assets: versioning, public/private interfaces for data models, and a relentless focus on automated testing. To scale these principles across our org, we design self-service systems that prioritize continuous, iterative delivery, developer velocity, cost transparency and efficiency by default.
What You'll Do
In this role, you will help build and evolve:
- A High-Performance Cloud-Native Stack: Work with a blend of serverless cloud analytics tools and self-hosted Kubernetes deployments to serve a diverse range of internal stakeholders
- Abstracted Data Frameworks: Develop internal tooling that enables engineers to self-serve data loading and testing
- Open Source & Custom Tooling: We deploy and scale industry-leading data engineering and analytics tools
- A Rich Metadata Layer: Provide the automation and cataloging tools that serve as the backbone for discovery and tracing
What You'll Need to Succeed
- Bachelors degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 2+ years of relevant experience, Masters degree, or PhD
- Cloud & Infrastructure: Experience managing cloud infrastructure via Infrastructure as Code (IaC)
- Software Craftsmanship: Strong Python development skills with a focus on SOLID design principles
- Automated Release Engineering (DevOps): A standard-bearer for CI/CD excellence
- Data Fluency: Understanding of SQL and OLAP concepts
- Privacy & Security by Design: Experience with end-to-end security and isolation
- Distributed Orchestration and Streaming: Familiarity with data orchestration tools and a conceptual understanding of distributed stream processing
- The Internal Customer Mindset: You are a product-minded engineer
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
- Wellness initiatives
Learn more about Latitude's team, mission and career opportunities at lat.ai!
Salary Range
The expected base salary range for this full-time position in California is $150,320 - $225,480 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.
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
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.