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Design and prototype algorithms for machine learning and reinforcement learning in robotics, focusing on practical problem-solving and real-world application.

Develop and execute test cases for robotic systems, troubleshoot issues, and ensure quality improvement in collaboration with various teams.

As a Senior/Staff Algorithms Engineer, you will solve complex planning challenges in robotics, collaborate with teams, optimize algorithms, and maintain high-quality software.

The Senior/Staff Machine Learning Engineer will design machine learning solutions for robotics, focusing on task planning, model performance, and system integration across various teams.

The Senior Computer Vision Engineer will develop and optimize ML models for computer vision, enhance existing systems, and manage data pipelines while utilizing expertise in various technologies.

The Senior Robotics Manipulation Engineer will address manipulation and control challenges by developing models and improving software in robotic systems.

Lead a team of Computer Vision and Machine Learning engineers, oversee architecture and development of models, manage training pipelines, and implement the latest research.

Provide Tier 2 application and software support for deployed physical-AI systems: diagnose issues using logs, telemetry, and DBs; implement hot-fixes and runbooks; embed at customer sites for NPI and long-term support; collaborate with TAC, Product Support, and Engineering to improve reliability and tooling.

As a Forward Deployed Engineer, you'll ensure successful pilot outcomes for Dexterity's robotic solutions, address customer challenges, and optimize system performance through field experience and collaboration.

Lead customer success for robotics deployments: manage onboarding, training, support, and program delivery. Build strategic customer relationships, analyze KPIs, recommend improvements, drive expansions, and coordinate cross-functional teams to ensure successful deployments and retention.