Latitude AI

Django Python Developer

Alexandria, Virginia, United States

$60,000 – $78,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Consumer Software, Enterprise SoftwareIndustries

Requirements

Candidates must have at least 2 years of experience in Django web development and Python programming, along with a strong portfolio of web applications or projects. Proficiency in front-end technologies such as HTML, CSS, JavaScript, and modern JavaScript frameworks or libraries like React, Angular, or Vue.js is required. A solid understanding of web development concepts, MVC architecture, RESTful APIs, and design patterns using Django is essential. Experience with relational databases such as PostgreSQL or MySQL and database design principles is necessary. Familiarity with Agile/Scrum methodologies, the software development lifecycle, and collaborative development tools is expected. Strong problem-solving skills, attention to detail, and the ability to work independently or as part of a team are also important.

Responsibilities

The Django Python Developer will design, develop, and deploy web applications using the Django framework, adhering to best practices and coding standards. They will write clean, efficient, and maintainable code in Python while ensuring high performance, scalability, and security of applications. The role involves implementing front-end components and user interfaces, designing and implementing data models and database structures using Django ORM, and optimizing database queries for performance. They will integrate third-party services and develop RESTful APIs for seamless communication between client-side and server-side components. Additionally, they will write unit tests and debug issues to resolve bugs in a timely manner, utilize version control systems to manage the codebase, and deploy web applications to production environments using CI/CD tools.

Skills

Django
Python
HTML
CSS
JavaScript
React
Angular
Vue.js
PostgreSQL
MySQL
RESTful APIs
Agile
Scrum

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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