Staff Software Engineer, (C++) Runtime Infrastructure

Pittsburgh, Pennsylvania, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Artificial Intelligence, Robotics, Software DevelopmentIndustries

Requirements

Candidates must possess a Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics, or a related field, coupled with at least 7 years of relevant experience (or a Master's degree and 5 years, or a PhD and 2 years). Proven experience in developing embedded or robotics software on resource-constrained compute platforms is essential, along with at least 5 years of C++11 or newer development experience in a systems programming role and proficiency in a Linux or Unix environment. The ability to design software components and systems, communicate designs effectively through documentation and presentations, and a track record of successful collaboration on cross-functional product development teams are also required. Experience with Bazel and ROS is considered a plus.

Responsibilities

The Staff Software Engineer will design, develop, and test reliable, high-performance software for autonomy functions, and create tools to provide insights into system performance and behavior. Responsibilities include working closely with the simulation team for accurate off-vehicle testing, creating automated unit and integration tests, collaborating with autonomy teams to ensure seamless integration of runtime infrastructure, and participating in system-wide software architecture development.

Skills

C++

Runtime Infrastructure

Software Design

Software Delivery

Software Maintenance

Advanced Driver Assist Systems (ADAS)

Machine Learning

Robotics

Cloud Platforms

Mapping

Sensors

Compute Systems

Systems Engineering

Autonomy

Localization

Perception

Planning

Controls

Onboard Platform

Project Management

Sensor Processing

Simulation

Infrastructure Support

Tool Development

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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