Lead Robotics Application Engineer

Responsibilities

• Lead architecture, design, development, testing, deployment, and support of robotics applications and automation solutions.
• Define technical standards, best practices, and governance for robotics application lifecycle management.
• Partner cross-functionally to identify high-value automation opportunities and translate business needs into technical solutions.
• Evaluate/select robotics platforms, tools, and integration patterns aligned with enterprise strategy.
• Serve as technical lead for complex robotics initiatives (solution design, system integration, validation, troubleshooting).
• Mentor engineers/developers; ensure performance, reliability, security, compliance, and maintainability.
• Collaborate with vendors/implementation partners; assess capabilities and resolve technical issues.
• Support planning, estimation, risk management, and milestone tracking.
• Stay current with robotics, automation, AI/ML, and intelligent systems; present recommendations/updates to stakeholders.

Required:

• BS in engineering/CS/Robotics/Automation/IS (or related) OR MS with 8 years OR PhD with 5 years.
• 10+ years progressive experience in robotics/automation/software/controls.
• Experience leading design and delivery of robotics/automation in complex enterprise environments.
• Experience with end-to-end robotics application lifecycle (development through support).
• Leadership experience; cross-functional stakeholder experience.
• Strong expertise in robotics systems/automation/app development; scalable, secure, reliable automation.
• Programming/scripting:
  Python, C#, Java, PLC languages, or similar.
• Knowledge of robotics frameworks, machine vision, sensors, motion/control systems, and integration.
• Integration experience with APIs, databases, messaging, industrial protocols, or enterprise apps.
• Strong analytical/problem-solving; project leadership; communication/influence.
• Validation/documentation/compliance familiarity in regulated environments (if applicable).

Preferred:

• Large-scale/multi-site/regulated implementations; vendor management and lifecycle governance.
• Collaborative robots/AMRs/industrial robotics; AI/ML-enabled automation/computer vision/IPA.
• Agile/Scrum/hybrid; life sciences/manufacturing/logistics/lab automation; relevant certifications.

Annual bonus and long-term incentive; comprehensive benefits including medical/dental/vision, retirement (401(k)), paid holidays, vacation, and sick/compassionate days.