The Company:

Faraday Future (FF) is a California-based mobility company, leveraging the latest technologies and world’s best talent to realize exciting new possibilities in mobility. We’re producing user-centric, technology-first vehicles to establish new paradigms in human-vehicle interaction. We’re not just seeking to change how our cars work – we’re seeking to change the way we drive. At FF, we’re creating something new, something connected, and something with a true global impact.

Your Role:

As an ADAS Software Engineering Part Time Intern (20-24 hours/week) in our ADAS/Autonomous Driving team, you will collaborate with some of the brightest minds in the industry to design, develop, integrate, test, and validate end-to-end autonomous driving algorithms. Your work will contribute to the development of production-ready ADAS/AD features for a world-class vehicle platform.

Responsibilities

• Develop and implement AI algorithms, models, and data pipelines for end-to-end autonomous driving tasks. Key responsibilities include but are not limited to:
• 3D Environment Modeling – Develop and optimize models for detecting 3D objects and mapping features in autonomous vehicles.
• AI for Navigation & Planning – Design AI-driven systems for navigation, path planning, and behavior cloning.
• Vision & Language Integration – Implement models that combine computer vision with large language models for enhanced perception and decision-making.
• Reinforcement Learning – Apply reinforcement learning techniques to improve trajectory planning and optimization.
• 3D Environment Reconstruction – Contribute to 3D scene reconstruction for simulation and validation purposes.
• Distributed Training – Develop and optimize distributed training strategies for large-scale datasets.
• Auto-Labeling – Enhance and implement auto-labeling systems for large-scale data annotation.

Basic Qualification

• Master’s in Computer Engineering, Robotics, or a related field.
• Proficiency in Python programming and AI modeling using frameworks such as PyTorch.
• Relevant Coursework and Research: Transformers and Language Modeling
• Familiarity with Model fine tuning.
• Some experience with transformer and/or CNN-based Object Detection and Segmentation.
• Passionate about AI and autonomous driving technologies.
• Ability to perform efficiently in supervised and self-supervised environment
• Continuous learning techniques

Preferred Qualifications:

• PhD in Computer Engineering, Robotics, or a related field is desirable.
• Any experience in developing Python-based software frameworks is highly preferred.
• Candidates with research publications in AI or autonomous driving are highly preferred.

Annual Salary Range:

($30/hour - $39/hour DOE)

Perks + Benefits

• Casual dress code + relaxed work environment
• Culturally diverse, progressive atmosphere

Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.