Robotics Automation Engineer — AI-Driven Production Systems

Accenture

Atlanta (GA)

On-site

USD 70,000 - 210,000

Full time

3 days ago
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Job summary

Accenture is seeking a Robotics Automation Engineer to design, program and deploy industrial robots across manufacturing, warehousing and logistics environments. You will integrate robots with PLCs, MES/WMS, and instrumented safety systems while using ROS/ROS 2, Python and C++ to build robust automation solutions.

Role involves up to 75% travel and collaboration with OT teams, AI architects and clients to deliver scalable, production-ready systems worldwide.

Qualifications

  • Minimum 3 years of relevant experience in robotics automation, robot programming, controls integration, AMR/AGV deployment or autonomous systems.
  • Hands-on experience with at least one industrial robot, cobot or mobile-robot ecosystem such as FANUC, ABB, KUKA, Universal Robots or equivalent.
  • Understanding of robotics fundamentals including coordinate frames, kinematics, motion, sensors, controls and safe operation.
  • Experience integrating robotics with automation equipment, software or operational processes.
  • Ability to read engineering drawings, troubleshoot across hardware and software, and work safely in operational environments.
  • Working awareness of the broader Physical AI lifecycle and how simulation, training, orchestration, industrial data and operations support robotics deployment.
  • Bachelor's degree or equivalent (minimum 12 years) work experience. (If associate degree, must have a minimum of 6 years’ work experience)

Responsibilities

  • Design, program, configure and deploy industrial robots, collaborative robots, AMRs/AGVs, mobile manipulation and related robotic automation.
  • Integrate robots with end effectors, conveyors, safety systems, machine vision, sensors, PLCs, SCADA, MES, WMS, ERP and site workflows.
  • Develop robot programs, control logic, interfaces and adapters using OEM tools, ROS/ROS 2, Python, C++ or relevant automation technologies.
  • Support cell design, reach and cycle-time studies, tooling specifications, layout validation, safety assessment and equipment selection with engineering partners.
  • Use digital twins and simulation for offline programming, layout validation, process testing, virtual commissioning, fleet sizing and deployment-risk reduction.
  • Support robotics intelligence capabilities such as perception, localization, SLAM, motion planning, task planning, sensor fusion and autonomous decision logic where applicable.
  • Contribute to robot training and validation workflows, including synthetic data, simulation-based testing and simulation-to-real transfer when required.
  • Integrate robots and fleets with orchestration platforms for task allocation, traffic management, exception handling, monitoring and controlled operations.
  • Conduct integration, safety, hardware-in-the-loop, factory-acceptance, site-acceptance and production-readiness testing.
  • Troubleshoot software, controls, network, sensor, mechanical and operational issues through commissioning and post-go-live support.
  • Document robot programs, interfaces, configurations, test evidence, operating procedures, runbooks and support requirements.
  • Collaborate with Physical AI architects, digital-twin and simulation engineers, OT teams, client operations and robotics ecosystem partners.

Skills

Robotics automation
Robot programming
Controls integration
AMR/AGV deployment
Autonomous systems
Coordinate frames
Motion planning
Robot safety

Education

Bachelor's degree or equivalent
12+ years work experience (if associate degree)

Tools

FANUC
ABB
KUKA
Universal Robots
ROS/ROS 2
Python
C++

Job description

Accenture is seeking a Robotics Automation Engineer to design, program and deploy industrial robots across manufacturing, warehousing and logistics environments. You will integrate robots with PLCs, MES/WMS, and instrumented safety systems while using ROS/ROS 2, Python and C++ to build robust automation solutions.

Role involves up to 75% travel and collaboration with OT teams, AI architects and clients to deliver scalable, production-ready systems worldwide.

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