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Principal Robotics Engineer Bot Routing information

What does a Principal Robotics Engineer specializing in Bot Routing do?

A Principal Robotics Engineer specializing in Bot Routing is responsible for designing, developing, and optimizing the algorithms and systems that control how robots navigate and move through their environments. This includes creating efficient routing paths, coordinating multiple robots, and ensuring reliable and safe movement in complex settings like warehouses or manufacturing facilities. They often lead teams, set technical direction, and collaborate with software and hardware engineers to integrate routing solutions into robotics platforms. Their work directly impacts the efficiency and effectiveness of automated robotic systems.

How does a Principal Robotics Engineer specializing in bot routing typically collaborate with cross-functional teams to optimize autonomous system performance?

As a Principal Robotics Engineer focused on bot routing, you will regularly partner with software developers, hardware engineers, data scientists, and operations teams to design and refine routing algorithms for autonomous robots. Collaboration often involves joint problem-solving sessions to address route efficiency, obstacle avoidance, and real-time system adaptation. You will also contribute technical leadership by mentoring junior engineers and ensuring that routing solutions align with broader project goals. This cross-disciplinary teamwork is essential for successfully deploying and scaling robotic solutions in dynamic environments.

What are the key skills and qualifications needed to thrive as a Principal Robotics Engineer in Bot Routing, and why are they important?

To thrive as a Principal Robotics Engineer in Bot Routing, you need advanced expertise in robotics, algorithm development, and systems engineering, typically supported by a graduate degree in robotics, computer science, or a related field. Proficiency with ROS (Robot Operating System), simulation tools like Gazebo, and experience with C++/Python programming are commonly required, along with relevant certifications. Strong leadership, problem-solving, and communication skills help in guiding multidisciplinary teams and coordinating complex projects. These skills are crucial for designing efficient routing algorithms, ensuring system reliability, and driving innovative robotics solutions in dynamic environments.

What is the difference between Principal Robotics Engineer Bot Routing vs Robotics Engineer?

AspectPrincipal Robotics Engineer Bot RoutingRobotics Engineer
CredentialsBachelor's/Master's in Robotics, Electrical, or Mechanical Engineering; experience with bot routing systemsBachelor's or higher in Robotics, Mechanical, Electrical Engineering; some experience with robotics systems
Work EnvironmentDesigning and overseeing complex bot routing algorithms in R&D or advanced manufacturingDeveloping and testing robotics applications in labs or field environments
Industry UsageUsed in automation, logistics, and manufacturing sectors for advanced routing solutionsApplied across various industries for general robotics development and implementation

The main difference is that Principal Robotics Engineer Bot Routing focuses on leading the design and optimization of bot routing systems, often in senior technical roles, while Robotics Engineers typically develop and implement robotics solutions at a more operational level. Both roles require strong technical skills, but the principal role involves higher-level oversight and strategic planning.

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Principal Robotics Engineer Bot Routing jobs near you
RPA Bot Developer with Security Clearance

RPA Bot Developer with Security Clearance

Red River Technology LLC

Chantilly, VA • On-site

Other

Posted 5 days ago

Job description

Job Description: Red River is seeking a RPA Bot Developer with an active Secret clearance to join our growing team. The RPA Bot Developer will be responsible for leveraging the current Government Advana RPA Orchestrator RPA software to manage, develop, and deploy BOTs. Primary Responsibilities: Conduct requirements elicitation to gain a detailed understanding of the “as-is” process(es) that have been selected for automation. Define and model the actual process or projects to be automated and mapping any dependencies that the automation might have, like the systems it interacts with or regulations that impact it.
Consult any existing process documentation that may be available, as well as any policies or orders that apply to automating the process. Diagram the design process and diagram the automation for Government review.
Ensure that any automation(s) delivered under this Task are registered in the client’s Bot Registry upon release to Production. In addition, the Contractor shall provide a briefing that specifies any specific runtime requirements or other relevant information necessary for production usage. Ensure the Government has access to the un-compiled automation before release to Production.
Recommend metrics to the Government to ensure any RPA automation(s) are performing as expected and that will contribute to demonstrating the value of the automation over time. Be aware of and comply with the RPA governance policies and procedures when designing or developing a new bot or make changes/updates to existing bot that have been operationalized. Test the automated process in a staging or testing environment to ensure it executes and performs as expected. The developer is strongly encouraged to use a Government provided development environment. However, the developer may use their own development environment with prior approval from the Government lead or COR, if there is a compelling need to do so. Mandatory Requirements Active Secret Clearance a must.
Demonstrated development experience using UiPath
Demonstrated experience reviewing the work of others
Minimum Experience 8 years of progressive software development experience that includes hands-on software engineering activities such as testing, integration, DevOps, or software architecture
Demonstrated experience working in cloud-based infrastructure such as AzureWeb Services
Demonstrated experience working in diverse technical configurations, technologies and processing environments

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