About Pebble

Pebble is a sustainable living startup defining a new way to live, work and explore from anywhere with a 100% electric, hassle-free RV trailer. Built by a team of experts in both automotive and consumer technology, Pebble combines electrification with cutting-edge automotive technology for a travel trailer experience that removes the hassles RV trailer owners have struggled with for decades.

At Pebble, we are building out the future of lighter, more flexible living. We see a world where your home can be anywhere you want to take it. Pebble blends the best of what it means to be at home, on the road, and off-grid into something useful and magical. This is a collective effort. Our team is dedicated to making not just products, but a lifestyle that is truly sustainable.

If the idea of building out the future sparks your imagination and intersects with your skills, we’d love to meet you.

Position: AI Software Engineer Intern

Location: Fremont, CA

Department: Software Engineering

Role Overview:

Join our SW team to build intelligent systems that power our electric vehicle platform. You'll develop AI agents for data analysis, automation, and user interaction while working with cutting-edge technology in the sustainable transportation space.

Core Responsibilities:

• Time Series Data Intelligence:

  • Build AI agents that analyze large-scale vehicle telemetry and sensor data.

  • Create automated pattern recognition systems for fleet monitoring and optimization.

  • Design scalable data processing pipelines for production vehicle data.

• Data Infrastructure & Automation:

  • Develop intelligent data migration and ETL systems with built-in validation.

  • Build automated database ingestion agents that parse and structure complex datasets.

  • Create AI-powered data visualization tools that generate insights automatically.

  • Support enterprise data transformation projects with intelligent automation.

• Generative AI Applications:

  • Develop AI agents for internal tools (documentation, quality tracking, process automation).

• Production Deployment:

  • Integrate AI solutions with existing software infrastructure.

  • Deploy and maintain AI agents in production environments.

  • Collaborate with engineering teams on AI-enabled vehicle features.

  • Monitor and optimize AI system performance at scale.

Required Qualifications:

• Experience:

  • Solid school courses about AI and other related engineering fields

• Technical Skills:

  • AI/ML: PyTorch, TensorFlow, Hugging Face, LangChain, or similar frameworks.

  • Programming: Strong Python skills .

  • Data: Time series databases (InfluxDB, TimescaleDB), data warehouses, streaming platforms.

  • Agent Development: Autonomous agents, multi-agent systems, agentic workflows.

  • Infrastructure: RESTful APIs, microservices, Docker, Kubernetes.

  • Cloud: AWS, GCP.

• AI Specialization:

  • Large Language Models (LLMs) and prompt engineering.

  • Retrieval-augmented generation (RAG) and vector databases.

  • Agent orchestration and workflow automation.

  • Model deployment, monitoring, and optimization.

Preferred Experience:

• Student in undergraduate or graduate programs

• Ivy League universities are a huge plus but not required

What You'll Get:

• Work on cutting-edge AI in sustainable transportation.

• Direct impact on product development and customer experience.

• Collaborative startup environment with an experienced team.

• Professional development opportunities.

• Modern office with flexible work options.

About You:

• Want to get introduced to fast growing startups

• Passionate about AI technology and practical applications.

• Thrive in fast-paced startup environments.

• Enjoy complex technical challenges with creative solutions.

• Excited about sustainable technology and mobility.

• Strong collaborator across technical and non-technical teams.

Benefits: 

N/A