Build the software orchestration layer that enables humanoid robots to coordinate perception, manipulation, motion planning, and learning within a unified mission control system.
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Design, develop, and maintain core components of the mission control software stack.
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Architect clean, extensible interfaces that abstract robotic subsystem capabilities for higher-level task coordination.
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Integrate and orchestrate robotic subsystems including perception, manipulation, control, planning, and learning into a unified execution framework.
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Implement robust monitoring, state management, and error-handling mechanisms for complex multi-step robotic operations.
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Establish and maintain high software quality standards through automated testing strategies across unit, integration, and system-level testing.
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Collaborate closely with robotics engineers and researchers to translate algorithmic capabilities into production-ready software.
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Contribute to architectural decisions and help shape the technical direction of the team.
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Support the development of abstractions that allow non-technical users to define robotic tasks without needing to understand low-level implementation details.
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5+ years of professional software engineering experience with a strong portfolio demonstrating clean, maintainable code.
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Strong proficiency in Python and C++ within production environments.
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Solid understanding of software architecture, interfaces, design principles, and design patterns.
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Experience with modern software engineering practices including CI/CD pipelines, version control workflows, code reviews, and automated testing across unit, integration, and system levels.
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Comfortable working within Linux-based development environments.
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Strong communication skills and professional proficiency in English.
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Collaborative mindset with the ability to actively listen, align with team goals, and contribute to shared understanding.
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Pragmatic and solution-oriented approach with the ability to navigate technical discussions constructively.
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Calm, structured, and team-oriented working style focused on collaboration, clarity, and consensus-building.
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Ability to thrive in environments built on open dialogue, constructive feedback, and mutual respect.
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Experience with task planning, workflow orchestration, or scheduling systems is a plus.
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Familiarity with graph-based systems, semantic modeling, or rule-based reasoning is advantageous.
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Knowledge of integrating AI/ML components and modern generative AI models into larger software architectures is beneficial.
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Exposure to formal modeling approaches such as state machines, behavior trees, or process modeling is considered a plus.
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Experience with ROS2 and hands-on integration of robotic systems or subsystems is advantageous.
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Previous experience within robotics, automation, or cyber-physical systems is highly valued.
