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The Sensor Systems Engineer designs, integrates, and validates sensors for robotic platforms, ensuring accurate data collection in various environments. Responsibilities include system architecture, calibration, performance evaluation, and collaboration across teams.

Develop and maintain robotic user workflows, integrating sensors and designing autonomous systems for real-world applications, ensuring high performance and reliability.

Lead the design, implementation, and deployment of control systems for autonomous vehicles, focusing on multi-agent collaboration and real-world applications.

As an AI/ML Engineer, you will develop multimodal AI models, focusing on computer vision and agentic capabilities. Responsibilities include data curation, model training, evaluation, and deployment while working with real robotic systems.

Lead large-scale, customer-focused robotics and autonomy programs. Drive cross-functional execution and manage project risks and communications to ensure successful outcomes.

The Robotics Autonomy Engineer designs and implements motion planning and control algorithms for robotic systems, ensuring precise navigation and integration across autonomy layers, while analyzing performance and improving field deployment.

The MLOps Engineer will design and maintain infrastructure for machine learning systems in robotics, focusing on deployment, monitoring, and optimization of ML workflows.

As a DevOps Engineer, you will improve CI/CD pipelines, manage containerized infrastructure, ensure deployment reliability, and troubleshoot production issues.

The Software Engineer focuses on building and maintaining development environments and tooling infrastructure to support engineering teams, improving developer velocity and code quality across projects.

The role involves building detailed 3D environments for robotics and construction, ensuring high standards for model quality and performance, while refining workflows and collaborating with cross-functional teams.