Latitude AI

SharePoint Developer

Arlington, Virginia, United States

$280,000 – $300,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Enterprise Software, CybersecurityIndustries

Requirements

Candidates must possess a Bachelor’s degree in computer science or software engineering and have 6-10 years of experience as a SharePoint developer. They should hold a Microsoft 365 Certified: Developer Associate certification or a similar qualification. Fundamental knowledge of C#, ASP.NET, and .NET Frameworks is required, along with familiarity with JavaScript, HTML5, CSS, XML, jQuery, SQL Server, and Web Services. High-level coding skills and the ability to solve complex software issues are essential, as well as project management skills, attention to detail, and self-motivation. Additional requirements include US Citizenship, an active DOD Secret clearance, previous experience working with US Navy customers, and exposure to FlankSpeed.

Responsibilities

The SharePoint Developer will meet with stakeholders to review website and application requirements and provide feedback based on SharePoint expertise. They will integrate requirements into development actions, set tasks and development goals for SharePoint projects, and configure the company’s SharePoint systems accordingly. The role involves developing new web components using technologies such as XML, .NET, SQL, and C#, designing, coding, and implementing scalable applications within the SharePoint environment, and extending SharePoint functionality by creating forms, web parts, and application technologies. Additionally, the developer will test and debug code to ensure optimal performance, review website interfaces for software stability, troubleshoot software issues, maintain and update SharePoint applications, and provide systems training to staff and customers.

Skills

C#
ASP.NET
.NET Frameworks
JavaScript
HTML5
CSS
XML
jQuery
SQL Server
Web Services

Latitude AI

Develops automated driving technologies for vehicles

About Latitude AI

Latitude AI develops automated driving technologies aimed at enhancing the driving experience. Their primary product is a hands-free, eyes-off driver assist system designed for next-generation Ford vehicles. This system allows drivers to engage in other activities while the vehicle manages driving tasks, thereby making driving safer and less stressful. Latitude AI stands out from competitors by combining the agility of a startup with the manufacturing capabilities of Ford, enabling rapid development and integration of advanced technologies into vehicles. The company's goal is to redefine how people interact with their cars, improving safety and providing drivers with more free time during their journeys.

Key Metrics

Pittsburgh, PennsylvaniaHeadquarters
2022Year Founded
VENTURE_UNKNOWNCompany Stage
Robotics & Automation, Automotive & TransportationIndustries
201-500Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Health Savings Account/Flexible Spending Account
401(k) Retirement Plan
401(k) Company Match
Paid Parental Leave
Paid Medical Leave
Unlimited Paid Time Off
Paid Holidays
Monthly Wellness Stipend
Professional Development Budget
Mental Health Support
Employee Discounts
Adoption Assistance
Backup Child and Elder Care Program
Pre-tax Commuter Benefits
Employer-paid Group Term Life Insurance

Risks

Competition from tech giants like Tesla and Google may impact market share.
Continuous updates needed due to rapid AI advancements could be costly.
Consumer skepticism and regulatory hurdles may slow technology adoption.

Differentiation

Latitude AI combines startup agility with Ford's manufacturing excellence.
Focuses on hands-free, eyes-off driver assist systems for Ford vehicles.
Operates independently while serving millions of Ford customers.

Upsides

Increased investment in AI-driven automotive technologies boosts sensor fusion advancements.
V2X communication technologies enhance vehicle interaction with the environment.
Edge computing enables real-time data processing, improving automated driving performance.

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