Robotics Automation Engineer / Senior Engineer

AccentureSt. Louis, MO
$54,400 - $205,800Hybrid

About The Position

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.

Requirements

  • 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)

Nice To Haves

  • 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.

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 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.

Benefits

  • medical
  • dental
  • vision
  • life
  • long-term disability coverage
  • 401(k) plan
  • bonus opportunities
  • paid holidays
  • paid time off
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