ASMLBackend software intern (Internship)

THE ROLE As a key member of the Autopilot AI Tooling & Teleoperation team, you will work on two critical areas: Designing and building tooling systems that support the full machine learning lifecycle (data processing, annotation, visualization, training, and productionization pipelines); Developing high-reliability, low-latency backend infrastructure to enable remote operation and assistance for Tesla’s global Robotaxi fleet and Optimus humanoid robots. You will collaborate closely with world-class AI researchers, autonomy teams, firmware, and controls engineers to build an end-to-end technology stack — from data to cloud, and from model training to real-time teleoperation. Your work will directly impact the safety and continuous improvement of thousands of autonomous vehicles and robots. RESPONSIBILITIES Design and implement large-scale data processing pipelines handling diverse data types including autonomous driving images, sensor data, human annotations, and teleoperation video/telemetry/control signals. Build tools, metrics, dashboards, and automation platforms that accelerate the full cycle of model training, validation, and teleoperation workflows. Design and develop scalable, high-performance backend infrastructure to support low-latency remote operation of thousands of vehicles and robots worldwide, with strong emphasis on safety and reliability. Establish comprehensive observability systems (monitoring, metrics, and alerting) to achieve full visibility from edge devices to the cloud. Collaborate with AI researchers, frontend engineers, firmware, and autonomy teams to rapidly turn research ideas into production-grade features. Select and implement cloud-native technologies (Kubernetes, Terraform, etc.), build automated testing frameworks, and enable safe continuous deployment.

The Role Data is deeply embedded in the product and engineering culture at Tesla. We collect data from our vehicle fleet and use it to support service and engineering in identifying issues at the fleet or vehicle level, enabling diagnostic automation and technician workflow to identify issues and take corrective actions. We're looking for a talented engineer to join us in analyzing and reporting on data, creating ETL processes, and implementing improvements to our data platform. Your work will affect thousands of technicians and Tesla engineers daily, enabling them to keep our vehicle fleet on the road and improve customer experience. Responsibilities • Develop analysis and reporting focused on operational, technical metrics and KPIs • Deliver quick turnarounds on dashboards, identify trends and/or issues within data sets, and make recommendations to influence business decisions and investments • Improve our data platform by improving performance, stability and maintainability of our relational databases, ETL pipelines, queue (Kafka, RabbitMQ) environments • Evaluate the effectiveness of engineering initiatives and deliver actionable insights to improve service productivity • Present analytical results and insights to business partners to answer strategic questions and influence business decisions

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