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The Robotics Automation Engineer understands the broader Physical AI lifecycle, including digital twins, simulation, robot training, intelligent orchestration, industrial data and managed operations, while specializing in the design, programming, integration, commissioning and support of robotic automation. The role focuses on turning robotics use cases into safe, reliable and scalable production systems in manufacturing, warehousing, logistics and other operational environments.

The Work:

• 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 coordinated 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.

Travel Requirements:

Travel is required for this role and could vary up to 75%

Here’s what you need:

• 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)

Bonus Points If:

• AMR/AGV fleets, fleet-management systems, traffic management or multi-vendor orchestration.

• ROS/ROS 2, Python, C++, machine vision, SLAM, sensor fusion, motion planning or autonomy software.

• NVIDIA Isaac Sim, Isaac ROS, Omniverse, Gazebo, Visual Components, Siemens Tecnomatix, DELMIA or comparable simulation and virtual-commissioning tools.

• Robot learning, synthetic data, reinforcement or imitation learning, simulation-to-real or robotics intelligence platforms.

• PLC/SCADA, OPC UA, MQTT, MES, WMS, ERP, cloud/edge or industrial-network integration.

• Functional-safety standards, safeguarding, risk assessment, cybersecurity and production-readiness controls.

• Experience applying robotics in manufacturing, warehousing, logistics, engineering, laboratories or other asset-intensive environments.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 10/25/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

Role LocationAnnual Salary Range

California$70,350 to $205,800

Colorado$63,800 to $177,800

Connecticut$63,800 to $177,800

District of Columbia$68,000 to $189,300

Illinois$59,100 to $177,800

Maine$54,400 to $151,400

Maryland$63,800 to $177,800

Massachusetts$63,800 to $189,300

Minnesota$63,800 to $177,800

New York$66,300 to $205,800

New Jersey$68,000 to $205,800

Ohio$59,100 to $164,600

Virginia$59,100 to $189,300

Washington$80,200 to $189,300