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# Software Integration Engineer, Tesla SI

- **Company:** Tesla Motors
- **Location:** Palo Alto, CA, United States
- **Salary:** $140,000.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Communications Protocols, Nvidia CUDA, Software Debugging, Linux, Linux on Embedded Systems, Ethernet, Fault Tolerance, Design of User Interfaces, Hardware Design, Python (Programming Language), Machine Learning, OpenCL, Real-Time Operating Systems, Software Deployment, Software Engineering, Systems Integration, TCP/IP, Toolchain, Deployment Automation
- **Published:** October 15, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/87796411/1

## About the Role

* Experience developing in C/C++, including modern standards (C++14/17/20), multithreading, and Python; familiarity with CUDA or OpenCL is a strong plus
 * Solid understanding of embedded systems architecture and real time software design principles
 * Working knowledge of computer vision, machine learning, and their practical applications in real world systems
 * Experience with automotive communication protocols such as CAN, Ethernet, and TCP/IP
 * Proficient in Linux based software development, withadditionalexperience in embedded Linux environments and cross compilation toolchains considered a plus
 * Strong analytical thinking, debugging skills, and the ability to communicate complex technical concepts clearly across teams

## Description

Integration Engineers on the Autonomy team,work at the intersection of SI, robotics, and systems integration, bringing Tesla'scutting-edgetechnology to life across both vehicle and robotic platforms. This role blends software development, system level problem solving, and cross functional collaboration to ensure seamless performance across our full autonomy stack.Theywork closely with teams spanning hardware, SI, controls, and safety to develop and implement features that push the boundaries ofwhat'spossible in autonomous systems.

The work will also play a vital role in defining and validating safety and reliability specifications for driverless operation. This includes designing fault tolerant mechanisms and building redundant system architectures to mitigate risks and maximize uptime. Fromearly stageprototyping to production deployment,the teamcontributes to the development of core features and infrastructure that power autonomy in both Tesla vehicles and robots.

This is a rare opportunity to shape the future of mobility and intelligent robotics through hands-on engineering at the leading edge of SI and automation.
What You'll Do

 * Own end-to-end integration of Autopilot features across software, user interfaces, and vehicle hardware systems
 * Drive feature development through simulation, validation, and fleet-driven feedback loops
 * Optimizesystem-level behavior to maximize feature effectiveness while minimizing power and resource usage
 * Provide performance data and constructive feedback to hardware design and manufacturing teams to continuously improve processes and system capabilities
 * Bring up Autonomy features on new vehicle and compute platforms
 * Write, debug, andmaintainrobust C/C++ software for the Autopilot and humanoid robot software stack