[Remote] Senior Software Engineer, Unified Modeling (CV/ML) at Latitude AI

Palo Alto, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Driving, Automotive, AI/MLIndustries

Requirements

Bachelor's or Master's Degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics, or a related field
Expert-level knowledge and experience in machine learning, with a proven track record of developing and deploying deep learning solutions using PyTorch, Tensorflow, or similar frameworks
Experience in developing perception systems using sensors such as Camera, Radar, and LiDAR
Strong experience in computer vision, perception, and point cloud processing
Proven experience in shipping computer vision software products to industry or consumers
At least 5 years of development experience in Python/C++ environments

Responsibilities

Develop spatio-temporal machine learning models for detection, multi-sensor fusion, segmentation, etc
Read literature, analyze raw data, and design state-of-the-art solutions
Transition solutions from the lab to the test track and public roads to ensure successful production-level implementation
Collaborate with perception experts and experienced roboticists on algorithm design, prototyping, testing, deployment, and productization
Build and maintain industry-leading software practices and principles
Develop clean and efficient software for perception modules interfacing with other key modules
Show initiative and be a valued team member in a fast-paced, innovative, and entrepreneurial environment

Skills

Key technologies and capabilities for this role

Computer VisionMachine LearningDeep Learning3D Object DetectionLane DetectionState EstimationScene SegmentationMulti-View ModelsMulti-Sensor FusionPyTorchTensorFlow

Questions & Answers

Common questions about this position

What is the salary or compensation for this Senior Software Engineer role?

This information is not specified in the job description.

Is this position remote or does it require working from specific locations?

The company is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif., but specific work arrangement details are not provided.

What skills and experience are required for this role?

A Bachelor's or Master's Degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics, or a related field is required, along with expert-level knowledge and experience in machine learning and a proven track record of developing and deploying ML models.

What is the team culture like at Latitude AI?

The Unified Model development team consists of highly skilled professionals specializing in computer vision and machine learning, collaborating in a fast-paced, innovative, and entrepreneurial environment to develop cutting-edge models from lab to production.

What makes a strong candidate for this position?

Strong candidates have expert-level machine learning experience with a proven track record, can develop spatio-temporal models, read literature to design state-of-the-art solutions, and thrive in a fast-paced environment while collaborating on production deployment.

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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