Windows System Engineer at Latitude AI

Chantilly, Virginia, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Information TechnologyIndustries

Requirements

Candidates must possess a Bachelor's degree in Information Systems, IT, Computer Science, or a related discipline. An active Top Secret clearance with the ability to obtain SCI post-hire is required, along with a DoD 8570 Certification (Security+ or higher). Strong experience in Microsoft Windows Server and Windows administration, coupled with hands-on Citrix administration experience, is essential. Familiarity with cloud, SOA, and virtualization environments, AWS technologies (EC2, S3 Buckets, Reserved Instances, etc.), systems engineering and sustainment best practices, and version control systems like Git/GitLab are necessary. Proficiency in documentation, including VDDs, diagrams, and SOPs, and familiarity with collaboration tools such as Jira and Confluence are also required. Preferred qualifications include prior experience supporting geospatial products or programs, Citrix certifications, AWS certifications, and SAFe Agile certification.

Responsibilities

The Windows System Engineer will take a leadership role in driving system changes, enhancements, and long-term improvements. Responsibilities include working closely with government and contractor stakeholders to troubleshoot and resolve complex incidents, and proactively recommending and implementing configuration changes to enhance performance, scalability, and reliability. The role involves deploying security patches, hotfixes, and updates across test and production environments, and maintaining and updating critical system databases. Developing, documenting, and updating operational and security SOPs, troubleshooting guides, and technical diagrams is also a key duty. Ensuring the stability of mission-critical systems through monitoring, incident response, and remediation activities is paramount.

Skills

Windows Server

Citrix

Windows Administration

Cloud

Virtualization

AWS

Security+

Git/GitLab

Systems Engineering

Sustainment

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.

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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