• Deliver process automations to drive successful adoption and increase consumption of UiPath products (in onsite and remote client engagements). • Design, develop, test, deploy and document automation workflows and create reusable components. • Implement and configure programs, scripts and objects that are efficient, well structured, maintainable, and easy to understand. • Analyze and understand business processes to suggest process improvements and develop RPA solutions around them. • Gather project requirements for and supporting integration with partner products. • Support existing automations/processes and implementing change requirements as part of a structured change control process. • Create and document test procedures and scenarios for the pre-UAT phases. • Problem-solve issues that arise in day to day running of robotic processes and provide timely responses and solutions as required. • Work closely with the product team to suggest improvements of core functionalities and adding external technologies to the UiPath ecosystem.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Controls Retrofit Engineer is responsible for leading complex retrofit engineering projects including control system design, control panel engineering, PLC, HMI, and robotics programming, and providing site start-up support of material-handling equipment and automation equipment for the material handling, manufacturing, and logistics industries. - Serves as subject matter expert on retrofit control systems and electrical engineering principles. - Provides control systems design technical leadership in a matrixed environment. - Applies electrical engineering principles to analyze, propose, design, program, test, and troubleshoot control systems. - Reviews contract documentation and customer specifications. - Supports realization team on project installation, commissioning, and testing of control systems. - Develops technical documentation including control system specifications and engineering procedures. - Frequently interacts with customers and suppliers. - Perform other duties as assigned. Qualifications - Bachelor’s Degree in Electrical Engineering, Computer Engineering, or equivalent technical degree, or equivalent work experience. - Minimum of four (4) years of controls engineering experience, preferably in a material-handling, industrial, or manufacturing environment. - Some retrofit experience preferred. Requirements - 40 – 60% of travel as required. - Advanced knowledge of PLC ladder logic and programming. - Proficiency in Siemens, Rockwell, and Allen Bradley PLCs. - Thorough understanding of fieldbus systems and I/O equipment (e.g., Profibus, Profinet, ASi, TCP/IP). - Advanced understanding of other controls automation-related equipment (e.g., Bar code scanners, HMIs, Variable frequency drives). - Knowledgeable on AC drives, both open & closed loop. - Experience in Ethernet IP network design and machine safety a plus. - Advanced Microsoft Office skills including Word, PowerPoint, & Excel. - Excellent documentation and technical writing for product manuals, work instructions, and troubleshooting. - Ability to remain stationary at a desk for prolonged periods of time. - Ability to go to site frequently and move safely around industrial and/or warehouse environment. - Ability to lift and carry supplies up to 25 pounds at a time. - Ability to operate computers, tablets, phones, and other electronic devices. - Ability to communicate with others verbally and in writing, on a frequent basis. - Ability to tolerate exposure to job site temperature fluctuations due to seasonal weather in geographic region. Benefits - This position may require work at TGW customer sites. - TGW’s customers may require background checks before accessing their sites. - Refusal to participate in a customer-required background check may result in a customer barring access and a subsequent reduction in work. Company Description TGW Systems Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. - This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

• Identify, assess, and prioritize RPA and AI-driven automation opportunities with business stakeholders. • Define and maintain the enterprise automation roadmap aligned with business strategy and ROI. • Lead process discovery, feasibility analysis, and solution design (PDDs, SDDs). • Oversee development, testing, deployment, and support of RPA bots and AI-enabled automations. • Incorporate AI capabilities such as IDP/OCR, NLP, ML, and GenAI where appropriate. • Establish and enforce automation standards, governance, security, and best practices. • Lead and mentor automation teams; conduct design and code reviews. • Serve as the primary liaison between business, IT, and leadership, communicating progress and value.

• Own the Roadmap: Define the vision and feature set for our internal Robotics Data Platform. This tool must handle complex multimodal data types specific to robotics datasets. • Engineering Management: Act as the Product Owner for a dedicated team of software engineers. Translate business requirements into technical user stories, manage sprint priorities, and ensure the infrastructure is scalable and secure. • UX & Workflow Design: Design the interfaces to maximize efficiency for human annotators working on complex tasks. • Pipeline Architecture: Define the requirements for high-volume data ingestion pipelines. You will direct the engineering team on how to architect systems that ingest raw data from disparate sources and prepare it for the labeling platform. • Quality Control Systems: Spec out automated programmatic QA features to be built into the tool, reducing the reliance on manual review. • Technical Translation: Participating in discussions with leading robotics labs and foundation model builders. Translate their high-level objectives into data collection protocols and platform feature requirements. • Feasibility Analysis: Assess whether customer requirements can be met with current tooling or if new engineering features need to be prioritized. • Project Execution: Once the tool is operational, you are responsible for the project management of the actual data delivery. You will own the timeline, budget, and final quality output. • Workforce Management: Define the profiles for and manage the recruitment of specialized annotators and reviewers. • Dataset Delivery: Ensure final datasets are exported in the exact formats required by the customer.