Physical AI Engineer - Lilly Medicine Foundry
Eli Lilly and Company3 days ago
Indianapolis, IN, USASenior
Base Salary
$119k - $211k/yr
Responsibilities
- Deploy and integrate machine learning, computer vision, generative AI, agent, and reinforcement learning models into robotic and sensor-based manufacturing systems.
- Design, build, and operate edge-to-cloud architectures spanning GPU edge inference, cloud-trained models, OT/IT integration, data platforms, and orchestration.
- Optimize AI models for real-time robotics and vision performance and manage training, versioning, monitoring, drift detection, and retraining.
- Build digital-twin asset libraries from CAD and equipment-registry data and use simulation to generate synthetic data and validate robot, co-bot, and AGV behavior.
- Integrate vision and sensor outputs with manufacturing execution and quality systems, including audit trails and AI-assisted exception workflows.
- Develop verification protocols, benchmarks, and simulation-based validation for AI-driven robotics and vision systems under GxP and Computer System Validation requirements.
- Implement robotics safety mitigations, safety-controller integrations, risk analysis, and HSE use cases for AGVs, co-bots, and autonomous systems.
- Complete cybersecurity reviews, data governance and classification activities, AI intake, and risk assessments.
- Oversee pilot and production deployments, provide troubleshooting and technical support, and document deployment, safety, validation, and testing results.
- Coordinate with Lilly teams, technology partners, robotics vendors, camera vendors, and drone vendors on pilot delivery and production readiness.
Requirements
- Bachelor’s degree in Robotics, Computer Science, Electrical Engineering, Mechatronics, or a related technical field.
- At least 5 years of experience in robotics, automation, or AI-driven systems deployment in a manufacturing or industrial setting.
- Experience deploying computer vision or other AI models at the edge, including accelerated inference and video analytics pipelines.
- Strong programming skills in Python, C++, or ROS.
- Knowledge of TensorFlow, PyTorch, OpenCV, ONNX, TensorRT, or Triton.
- Knowledge of industrial communication protocols such as OPC-UA, MQTT, Modbus, and Ethernet/IP.
- Experience with industrial controls, safety controllers, edge AI and GPU platforms, and edge-to-cloud architectures.
- Experience with cloud IoT, data, and machine learning services and familiarity with enterprise data platforms.
- Familiarity with OT/IT integration, historian platforms, manufacturing execution systems, simulation, digital twins, synthetic data, generative AI, LLMs, and agent frameworks.
- Knowledge of robotics safety standards and risk mitigation, including ISO 10218, ISO 13482, ISO 3691-4, ISO 13849, EN 61508, and IEC 62443.
- Knowledge of Computer System Validation and GxP requirements, including GAMP 5, 21 CFR Part 11, and EU Annex 11.
- Experience in pharmaceutical or biologics manufacturing and integration with quality and validation systems is preferred.
- Strong analytical, troubleshooting, prioritization, communication, teamwork, learning agility, and problem-solving skills are required.
Benefits
- Full-time employees may be eligible for a company bonus based on company and individual performance.
- Benefits may include a 401(k), pension, vacation, medical, dental, vision, prescription drug, flexible spending, life insurance, leave, well-being, fitness, employee assistance, and employee club benefits.
- The anticipated base wage is $118,500–$211,200 per year.
- The role includes collaboration across Lilly teams and external partners and pilot deployment in existing spaces before transition to the Lilly Medicine Foundry site.
About Eli Lilly and Company
Eli Lilly and Company researches, develops, manufactures, and markets prescription medicines and biologics for patients, sold through healthcare providers, pharmacies, and payers. Core therapeutic areas include diabetes, oncology, immunology, neuroscience, and obesity. Founded in 1876 and headquartered in Indianapolis, it is a public company (NYSE: LLY) with global operations and is building a new advanced manufacturing site for gene therapy and other modalities in Lebanon, Indiana.