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Tesla is a global leader in innovation, driving advancements in autonomous vehicles and humanoid robotics. Our state of the art AI platform powers some of the most sophisticated systems in the world, including Autopilot and our next generation humanoid robot, Optimus.
As an Integration Engineer on the Autonomy team, you'll be working at the intersection of AI, robotics, and systems integration, bringing Tesla's cutting edge technology 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. You'll contribute to cabin sensing and driver monitoring systems that operate across multiple autonomy modes, integrate computer vision pipelines for occupancy and attention detection, and help bring new vehicle platforms — including robotaxi — from prototype to production. Your work will span regulatory compliance efforts for global markets, active safety feature development, and continuous modernization of core software infrastructure. You'll work closely with teams spanning hardware, AI, controls, and safety to develop and implement features that push the boundaries of what's possible in autonomous systems.
Your 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. From early stage prototyping to production deployment, you'll contribute 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 AI and automation.
Write, debug, and maintain robust C/C++ software for the Autopilot and humanoid robot software stack
Integrate Autopilot features and controls with user interfaces and other vehicle systems
Develop and integrate driver monitoring, cabin sensing, and active safety features across multiple autonomy modes and regional variants
Integrate Vision Language Model based pipelines for in-cabin perception
Develop and iterate on new features through simulation, validation, and fleet data analysis
Bring up Autonomy features on new vehicle and compute platforms, including robotaxi and next-generation hardware
Collaborate on regulatory compliance and homologation requirements across global markets
Optimize feature effectiveness while minimizing power consumption; provide performance data and feedback to hardware and manufacturing teams
Drive code modernization, improve test coverage, and maintain high software quality standards across the integration codebase
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, with additional experience 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
Experience working with camera-based perception systems, image quality pipelines, or sensor integration is a plus
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
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