Woven by Toyota
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Recently posted jobs
Automotive • Software • Automation
Build and maintain scalable data infrastructure for autonomous-driving applications. Responsibilities include developing vehicle-fleet data ingestion pipelines, distributed cloud systems, data processing and transformation services, workflow orchestration, and reliable data platforms. Collaborate with computer vision and machine learning engineers to support large-scale ML development, validation, and simulation. The role requires strong Python or object-oriented programming, distributed application development, cloud experience, RPC protocols, testing, observability, and data pipeline expertise.
Automotive • Software • Automation
Lead and grow a team of Data Scientists, Data Engineers, and ML Ops Engineers developing large-scale autonomy data pipelines and machine learning solutions for perception and planning. Define technical direction, data strategy, evaluation frameworks, and production processes. Guide data collection, curation, labeling, sampling, model deployment, and optimization while ensuring scalability, cost efficiency, safety, and quality. Collaborate globally across infrastructure, simulation, tooling, and autonomy teams.
Automotive • Software • Automation
Lead data strategy and engineering for AD/ADAS: collect, sample, label, and curate large-scale vehicle and simulator data; build evaluation frameworks and scalable pipelines; analyze data to improve perception and planning models; collaborate across teams and mentor colleagues to deploy production-ready ML solutions.
Automotive • Software • Automation
Develop and refine Arene SDK components and hardware-agnostic abstraction layers using modern C++ for embedded, resource-constrained automotive systems. Collaborate with global teams to accelerate software delivery, ensuring safety, quality, and robust integration with vehicle systems.
Automotive • Software • Automation
Design, build, and maintain large-scale data pipelines and distributed systems to ingest, process, and serve petabytes of vehicle data. Collaborate with ML and CV teams, mentor junior engineers, define long-term product strategy, and ensure robust, testable infrastructure using cloud and orchestration tools.
