Principal Automation and Robotics Engineer

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

R&D Product Development

Job Sub Function:

Robotics

Job Category:

Scientific/Technology

All Job Posting Locations:

Spring House, Pennsylvania, United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

We are searching for the best talent for a Principal Automation and Robotics Engineer to be located in Spring House, PA.

Purpose: The Principal Automation and Robotics Engineer owns the engineering strategy for the physical layer of autonomous discovery platforms. The role establishes how robots, workcells, controls, sensors, safety systems, facilities, utilities, and vendor equipment should be designed and integrated so scientific workflows can scale across multiple automated platforms.

The Principal Engineer will serve as the senior engineering authority for the physical automation architecture of self-driving discovery laboratories. This role defines robotics, controls, safety, facility integration, technical standards, vendor governance, engineering simulation strategy, reliability, maintainability, serviceability, and industrialization approaches required for scalable AI-native laboratory automation.

This role is paired with the Principal Laboratory Automation Scientist. The engineer leads the physical automation architecture; the scientist leads the scientific workflow architecture. The two roles jointly define integrated readiness for self-driving laboratories.

You will be responsible for:

Physical Automation Reference Architecture

• Defining robotics and physical automation reference architecture for multi-workcell SDL platforms, including robot cells, AMR or track routing, workcell interfaces, custom fixtures, transfer stations, sensor strategies, machine-state concepts, control boundaries, and safety patterns.
• Establishing enterprise standards for equipment interfaces, serviceability, maintainability, safety systems, utilities, robot access, physical handoffs, labware transfer points, service envelopes, and technical acceptance criteria for lights-out readiness.
• Leading design reviews for multi-workcell automation, facility integration, physical execution readiness, maintainability, reliability, and industrialization across discovery automation programs.
• Defining principles for modular, reconfigurable, scalable, and future-proof physical automation so new workcells, assays, and equipment can be added without redesigning the full laboratory.

Engineering Strategy and Technical Governance

• Acting as senior technical authority for robotics, controls, safety, physical integration, simulation, reliability, serviceability, maintainability, and engineering lifecycle strategy.
• Challenging Tier 1 integrator architecture, Tier 2 vendor assumptions, custom equipment proposals, safety logic, maintainability concepts, control boundaries, utility assumptions, and technical risk positions.
• Defining the engineering side of digital twin and simulation strategy, including layout, traffic, robot pathing, equipment utilization, service access, bottlenecks, intervention states, and recovery scenarios.
• Setting technical governance expectations for design reviews, interface control, FAT/SAT/UAT scope, technical risk registers, acceptance readiness, and lifecycle support.

Scale, Sustain, and Influence

• Driving cross-site scalability, standardization, engineering playbooks, vendor governance, support models, spare parts strategy, and lifecycle management for automated platforms.
• Partnering with Principal Laboratory Automation Scientists, data/AI teams, IT/OT, EHS, facilities, quality, procurement, operations, and scientific leaders to ensure physical systems support scientific workflows and autonomous execution.

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