Johnson & johnson rad (robotics and digital) is seeking a software application engineer for a digital manufacturing team delivering smart-factory solutions and analytics to enable scalable automation.
key responsibilities
* build and maintain digital manufacturing applications (edge services, apis/microservices, and web dashboards).
* integrate ot/iiot systems (plcs, robots, vision, amrs) with cloud and enterprise platforms (e.g., mes, data lake, analytics) using industrial protocols/apis (opc ua, mqtt, rest).
* design and deploy automation solutions (rpa, agent‑based workflows, and llm/rag‑enabled assistants) with human‑in‑the‑loop controls, safety gates, and auditable logs.
* operate and scale solutions through lifecycle management (scheduling, versioning/rollback, monitoring/observability) and reusable documentation/runbooks.
* plan and execute testing/deployment activities (fat/sat, commissioning, run‑at‑rate) and produce validation documentation, as applicable.
* develop performance dashboards and analytics (oee, cycle time, quality kpis, anomaly detection) and measure automation outcomes (task success rate, error rate, time saved, time to insights).
* partner with manufacturing engineering, operations, quality, it/cybersecurity, r&d, and external partners to ensure secure deployments and rapid issue resolution via root‑cause analysis.
qualifications
* bachelor’s degree in computer science, software engineering, electrical/mechanical/mechatronics engineering, or related field.
* minimum of 4 years of professional software development experience.
required skills
* hands‑on programming in python, c#, and/or javascript/typescript (or relevant industrial automation languages).
* integration and api experience (restful services, websockets, mqtt, opc ua).
* edge computing and containerization (docker); deploying services to cloud and/or edge.
* data visualization/dashboard experience (e.g., power bi, aws quicksight, or custom web uis).
* automating digital workflows (bots/workflows/exception handling).
* foundational knowledge of agentic/autonomous concepts (task planning, action selection, human‑in‑the‑loop) or willingness to learn.
* strong troubleshooting, root‑cause analysis, and debugging across software, networking, and device interfaces.
* strong written and verbal communication for documentation, training, and stakeholder engagement.
preferred skills
* agent orchestration frameworks; llm apis; autonomous agent tooling (prompt engineering, tool integration, evaluation).
* basic understanding of industrial automation devices (plcs, hmis, robot controllers, sensors).
* ci/cd, infrastructure as code, and automated testing.
* basic sql and/or familiarity with time‑series databases and data pipeline troubleshooting.
* experience in regulated environments (medical device and/or pharmaceutical) and familiarity with documentation/validation.
* model governance, auditability, and responsible‑use considerations for autonomous agents.
* familiarity with nvidia omniverse; nemotron is a plus.
other
* may require up to 5% domestic and/or international travel.
benefits
* base pay range: $91,000.00 to $129,472.00
* employee benefit programs (medical, dental, vision, life insurance, short‑ and long‑term disability, business accident insurance, group legal), retirement plan and 401(k), long‑term incentive eligibility, and specified time‑off benefits (including vacation, sick time, holidays, work/personal/family time, parental leave, and others).
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