Hydraulic Modeler (PE License Preferred) at Latitude AI

Hunt Valley, Maryland, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Civil Engineering, Environmental Engineering, Water and WastewaterIndustries

Requirements

Bachelor’s degree in Civil or Environmental Engineering from an ABET-accredited program
8–10+ years of relevant engineering experience, with a focus on hydraulic modeling and infrastructure planning
Proficiency in modeling software such as InfoWorks ICM, InfoWater, WaterGEMS, or SewerGEMS
Experience with GIS tools, transient analysis, and data management
Strong written, verbal, and presentation skills, with the ability to convey technical concepts clearly
Demonstrated ability to work effectively on multidisciplinary teams and manage project deliverables
PE License Preferred

Responsibilities

Build, calibrate, and validate computer models for water and sewer systems to evaluate system performance
Conduct hydraulic analyses to support master planning, capital improvement planning (CIP), and design projects
Prepare technical calculations, reports, and documentation in accordance with client specifications and industry standards
Identify performance deficiencies in collection and distribution systems, forecast future capacity issues, and recommend solutions
Execute project management tasks for modeling assignments, including scope development, budget tracking, and progress reporting
Perform quality control and quality assurance reviews on modeling deliverables and project documents
Provide updates to project managers and clients on modeling results, progress, and recommendations
Mentor and guide junior engineers and design staff in modeling tools and methodologies
Participate in client meetings, present technical findings, and deliver consultative support throughout project execution

Skills

InfoWorks ICM

InfoWater

WaterGEMS

SewerGEMS

GIS

transient analysis

data management

hydraulic modeling

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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