Role Description The Commissioning Technician III serves as a senior-level field technician responsible for leading the installation, configuring, and deployment of complex robotic systems, troubleshooting high-level technical issues, and mentoring junior team members. These technicians work independently to coordinate installation activities, ensure system performance, and uphold PAC’s high standards of quality and safety, and can direct Tech I and Tech II resources. This role is suited for experienced professionals with deep technical expertise and leadership ability in robotics or industrial automation environments. Key Responsibilities - Lead onsite deployment and commissioning of robotic systems. - Perform advanced troubleshooting and system diagnostics. - Coordinate with multiple trades and client teams for installation planning. - Calibrate, test, and validate system performance to specifications. - Interpret complex mechanical, electrical, and controls drawings. - Train and mentor Apprentices and Tech I & Tech II technicians. - Provide technical feedback and recommendations to engineering teams. - Ensure adherence to all safety standards and field best practices. - Travel up to 80% of the time across the U.S. (potentially Canada). Qualifications - HSD or GED - Technical training in Mechatronics, Robotics, or related field. - 7+ years of hands-on experience in robotics, automation, or complex industrial equipment installation. - Expert knowledge of mechanical and electrical systems integration. - Strong understanding of BMS, FLS, and industrial networking fundamentals. - Proven ability to lead small teams or coordinate subcontractors in the field. - Exceptional communication and problem-solving skills. - Proficiency interpreting and updating technical documentation. Preferred Certifications - OSHA 30 - Amazon Red Badge (training provided) - First Aid/CPR - Bilingual (English/Spanish) proficiency preferred Preferred Experience - Prior work in Amazon Robotics or high-volume fulfillment environments. - Field leadership or site supervision experience. Benefits - The salary range for this position is dependent upon experience, education, and qualifications. - Pay Range: $45 — $50 USD Equal Employment Opportunity We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made based on qualifications, merit, and business needs, without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

- Design, implement, and maintain the perception pipeline for autonomous mobile robots, including object detection, segmentation, localization, and mapping - Integrate and calibrate LiDAR, depth cameras, and other sensors on production robot platforms - Develop robust point cloud processing and filtering for reliable operation - Build and maintain sensor fusion systems that combine multiple modalities for accurate environment understanding - Create and manage datasets for perception model training, validation, and regression testing - Collaborate closely with navigation, controls, and hardware teams to ensure perception outputs meet downstream requirements - Debug and resolve perception failures on deployed robots using logs, recorded sensor data, and on-site investigation - Contribute to CI/CD pipelines for perception software testing and deployment

• Design, implement, and optimize path planning and trajectory generation for autonomous mobile robots operating in constrained logistics environments • Develop and tune motion controllers (PID, MPC, or similar) for heavy-payload platforms with real-world dynamics • Implement obstacle avoidance and safety behaviors that work reliably around people and infrastructure • Own the localization stack, working with perception engineers to integrate sensor-based position estimates into the control loop • Build simulation models and validate them against real robot behavior for faster development iteration • Analyze and improve robot performance using field data, telemetry, and logs from deployed systems • Collaborate with perception, hardware, and cloud infrastructure teams to deliver integrated autonomy features • Contribute to CI/CD pipelines for controls software testing and deployment to the robot fleet

• Learn and Use Automation Anywhere • Analyzing as-is processes and building as-is process maps via data.io • Conducting interviews with SMEs to decompose as-is process maps • Develop Bots according to Specs