Latitude AI

Senior Software Engineer, Machine Learning (Offboard Models)

Palo Alto, California, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Automotive, Artificial Intelligence, AI & Machine Learning, 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 4 years of relevant experience, or a Master's degree and 2+ years of experience, or a PhD. A minimum of 4 years of experience is required in machine learning, with a demonstrated history of developing and deploying deep learning solutions using frameworks like PyTorch or Tensorflow. Experience in developing perception systems utilizing sensors such as cameras, LiDAR, and RADAR, along with experience in developing object detection, lane detection, or semantic segmentation models, is essential. Additionally, candidates need at least 4 years of development experience in Python/C++ environments. Experience with transformer models, diffusion models, or vision language models (VLM) is considered a plus.

Responsibilities

The Senior Software Engineer will develop auto-labeling and data augmentation solutions to address data diversity and annotation needs for onboard perception. This role involves reading literature, analyzing raw data, and designing state-of-the-art solutions. Collaboration with perception experts and roboticists is key for algorithm design, prototyping, testing, cloud deployment, and productization. The engineer will develop clean and efficient software for auto-labeling and data augmentation modules that interface with consumer modules like perception and resimulation. Building and maintaining industry-leading software practices and principles is also a core responsibility, alongside demonstrating initiative and being a valued team member in a fast-paced environment.

Skills

Machine Learning
Computer Vision
Deep Learning
Software Development
Algorithm Design
Data Augmentation
Auto-labeling
3D Object Detection
Lane Line Detection
Scene Segmentation
Robotics
Cloud Deployment
Perception

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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