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The Customer Success Manager will support defense industry customers, ensuring product implementation, cross-functional alignment, and long-term success of robotic systems.

As a Senior Machine Learning Engineer, you'll lead the development of a neural welding simulator, integrating research and production to enhance robotic systems. Responsibilities include building predictive models, collaborating with reinforcement learning engineers, and translating prototypes into maintainable production code.

The Product Manager will drive product innovation by managing cross-functional teams and ensuring alignment with customer needs, focusing on enhancing product features and performance through data analysis and market insights.

The Senior Product Marketing Manager owns product positioning, drives go-to-market strategies, creates sales enablement materials, and collaborates cross-functionally to effectively launch and position products in the automation and manufacturing technology market.

The Robotic Operations Support Specialist will support customers by maintaining and troubleshooting autonomous welding cells, ensuring efficient operation and coordinating with engineering teams.

The Sr. Data Engineer will architect and build an end-to-end data platform, developing data pipelines and infrastructure for AI and robotics teams, ensuring data integrity and governance, and collaborating on ML model development.

Oversee program execution, drive cross-functional alignment, and ensure robotic AI projects are delivered on time and within scope.

Develop and maintain software infrastructure for AI workflows, enabling seamless transitions from experimentation to production in robotic systems.

Develop systems-level software for robotics, focusing on HALs, device drivers, and optimizing embedded systems. Collaborate with hardware teams to ensure seamless integration and performance.

Lead the development of core systems for intelligent robotic platforms, design and optimize performance-critical components, and integrate machine learning into real-time systems.