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The Controls Research Engineer will design and implement control algorithms, build simulations, analyze sensor data, collaborate with teams, and document methods to improve robot performance.

Lead hardware builds, diagnostics, validation, and quality control for robotic systems. Assemble and troubleshoot electro-mechanical assemblies, develop test plans and fixtures, drive root cause analysis, maintain SOPs and metrics, support deployments, and mentor junior technicians.

The role involves designing and maintaining large-scale ML infrastructure, optimizing distributed training systems, and enhancing computing performance for model training.

The role involves applied research and engineering for deploying AI in robotics, focusing on infrastructure design, fleet management, and software stability.

The Marketing and Communications Lead will shape Dyna's narrative, manage PR, lead content strategy, and attract talent while enhancing brand visibility in the robotics and AI sectors.

Lead QA function across Dyna's robotics stack, managing a team, developing automated test frameworks, and ensuring hardware behavior validation.

The QA Tester validates software releases for Dyna's robotics platform through structured testing, bug reporting, and regression monitoring, ensuring quality of release before customer deployment.

The AI Data Strategist role focuses on defining data requirements to drive model improvement across robotic platforms, emphasizing data collection priorities, evaluation frameworks, and lifecycle observability.

The Research Engineer/Scientist will develop AI models for robotic manipulation, design learning algorithms, analyze results, and collaborate with cross-functional teams to enhance performance.

Develop and lead software for robotic systems, focusing on control, sensing, teleoperation, and integration with AI and hardware teams.