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The Senior Software Engineer, Workflow Platforms will architect, build, and operate orchestration platforms for machine learning, data pipelines, and CI/CD at Bot Auto, ensuring reliability and efficiency.

The Algorithm Engineer will maintain and improve core autonomy code, build validation pipelines, and collaborate with teams for efficient issue resolution in autonomous truck systems.

Design and implement algorithms for motion planning and behavior in autonomous trucks, focusing on prediction, mapping, and validation processes.

Design and build full-stack features for Autonomous Traffic Control, develop responsive web interfaces, and integrate backend services with real-time data for autonomous vehicles.

Build full-stack features and realtime web interfaces for the Autonomous Traffic Control platform. Develop frontend UIs (maps, telemetry) and backend services/APIs, integrate streaming feeds, and ship reliable, operational tools used by controllers, fleet operators, and drivers.

Develop and train conditioned policies and MARL systems to simulate realistic driving behaviors, implement safety-constrained RL algorithms, design rewards and evaluation metrics, optimize large-scale training pipelines, advance neural architectures for long-horizon planning and spatial reasoning, and integrate research models with production simulation and planning teams.

Early-career software engineer building and maintaining simulation infrastructure and tools for autonomous vehicles. Implement simulation features, support scenario generation and execution pipelines, improve automation and reliability, debug simulation issues, and collaborate with perception, planning, and controls teams while writing C++/Python and following software engineering best practices.

The Senior ML/RL Engineer will develop behavior models, implement RL algorithms focusing on safety, design reward functions and optimize training environments while collaborating across teams.

The role involves designing and developing machine learning infrastructure for annotation, evaluation, and training models, focusing on scalable systems and efficient data workflows.

Responsible for designing and maintaining build and release pipelines for autonomous driving software, optimizing development workflows, and collaborating with teams.