Software Development Engineer Intern – AI-powered Tooling

Job Description

Internship, Software Developer, Integration Platforms (Fall 2026) | Tesla

The Tone:
This is an internship at Tesla, located in-person, on-site. Tesla develops technology to support its ever-expanding customer fleet from prototype to production. This role contributes to an AI-first strategy, fundamentally transforming how tools are built, maintained, and scaled within the company. A member of this team will build AI-powered technology that interfaces with vehicles and accelerates engineering workflows across the organization.

The TL;DR
• Role: Internship
• Type: Full-time
• Location: In-person, on-site
• Pay: $42.07 – $58.89/hour
• Team: Integration Platforms team, which develops technology to support the customer fleet.
• Mission: Build AI-powered technology that interfaces with vehicles and accelerates engineering workflows across the organization.
• Tech Stack: Go, Python, web frameworks, relational databases, containerization, workflow orchestration, stream processing/messaging systems, LLM-powered applications, AI agent architectures, MCP, function calling, large-scale data processing/querying, analytics.

What You’ll Actually Do
• Develop and orchestrate AI agents for critical engineering workflows.
• Design and implement intuitive front-end UI/UX for user interaction.
• Build and maintain robust back-end frameworks, including database and caching architectures.
• Practice DevOps principles to ensure smooth deployment and operational efficiency.
• Ensure product security and conduct thorough validation of new features.

The Must-Haves
• Background: Pursuing a degree in Computer Science, Software Engineering, or a related field, with an expected graduation between December 2026 and December 2027.
• Experience: Proficient in Go and Python, with hands-on experience building full-stack applications using web frameworks. Experience with backend infrastructure such as relational databases, containerization, workflow orchestration, and stream processing/messaging systems. Experience or a strong interest in building LLM-powered applications, with an understanding of AI agent architectures and tool-use patterns like MCP and function calling.
• Skills: Strong communication and collaboration abilities, thriving in an environment that juggles multiple concurrent projects.
• Bonus: Preferred exposure to large-scale data processing/querying and analytics.