Software Engineer, Integration Tools, Vehicle Software
Tesla
Palo Alto, CA, US
Remote
2026-07-03
Announced salary
$120,000 - $396,000
Low
$86K
Median
$120K
High
$155K
Market in Palo Alto · BLS OEWS 2024
Estimated net pay
$7,202 - $20,225
/month · 28% withheld
after tax & contributions · Single, no dependents
Job description
**What to Expect**
The Integration Platforms team builds the software that supports our ever\-expanding customer fleet from prototype to production. We own a broad portfolio of tools that engineers across the organization rely on every day—full\-stack web applications and dashboards, backend services and data pipelines, desktop applications, and clients that run directly on our production hardware, powering workflows across Vehicle, Optimus, Autopilot, and Energy software. We've built capabilities that let engineers dynamically query the fleet for real\-time answers to questions like "show me a random sample of 100 cars currently driving at least 60 MPH with the windows down and the AC on," and systems to live stream data off any vehicle, anytime, anywhere in the world.
As a member of this team, you'll build and own software from front\-end UI and backend APIs to the data architecture behind real\-time querying and streaming, and the desktop and in\-vehicle clients that interface with devices out in the field. You'll also help build and scale the infrastructure powering our automated global localization pipeline, so that infotainment and mobile UI, release notes, voice commands, navigation, and alerts feel natural for drivers in every market. Throughout, you'll use and build AI agents, skills, and MCP\-based workflows to accelerate your own work and scale your impact, while staying focused on shipping robust, well\-architected software.
**What You'll Do*** Design, build, and ship features across the stack \- React/TypeScript front ends, Go and Python services and APIs, and the schema, query, and caching layers that keep our tools responsive
* Implement and optimize historical and real\-time data paths: ingestion, streaming, and the indexing/caching strategies that let engineers query and stream off devices at fleet scale
* Build and scale web\-based localization infrastructure and end\-to\-end workflows—incorporating AI and LLMs—to automate review and QA, and de
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