Robotics Platform Architect – Autonomous Systems & Fleet

Accenture; Des Moines (IA); On-site; USD 150,000 - 210,000; Full time

Job summary

Accenture in the United States is seeking a Robotics Technical Architect to define end-to-end architecture for robotics intelligence platforms, autonomous systems, robotic fleets and services. You will shape patterns for foundation models, data pipelines and on-robot inference while guiding multi-robot orchestration and fleet management.

Lead architecture reviews, mentor robotics and platform teams, and collaborate with clients, ecosystem partners and delivery teams to implement scalable, secure

Qualifications

• 8+ years of professional experience in robotics engineering, robotics software, autonomous systems, industrial automation or related fields.
• Demonstrated experience architecting and deploying industrial or commercial robotics systems in production environments.
• Strong proficiency in ROS/ROS 2, Python and C++ for robotics applications and platform integration.
• Hands-on experience with robotics intelligence capabilities such as perception, localization, SLAM, motion planning, sensor fusion, controls or autonomous navigation.
• Experience with fleet management, multi-robot coordination, orchestration platforms or distributed robotic systems.
• Experience integrating robotics with industrial systems and protocols such as PLC/SCADA, OPC UA, MQTT, EtherNet/IP, MES, WMS or ERP.
• Understanding of cloud, edge and GPU-enabled deployment patterns, containers, APIs, event-driven integration, observability and production operations.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If associate degree, must have a minimum of 6 years’ work experience)

Responsibilities

• Define end-to-end technical architecture for robotics intelligence platforms, autonomous systems, robotic fleets and robotics services.
• Architect Robotic intelligence platforms spanning perception, localization, SLAM, sensor fusion, motion planning, task planning, autonomous decision logic, robot learning and runtime execution.
• Define architecture patterns for robotics foundation models, synthetic-data pipelines, simulation-based training, model evaluation, simulation-to-real transfer and on-robot inference.
• Architect multi-robot orchestration and fleet-management platforms, including task allocation, traffic management, execution monitoring, exception handling and cross-system coordination.
• Define orchestration services for task allocation, resource scheduling, traffic management, state and event management, exception handling, human intervention, execution monitoring and fleet optimization.
• Design integration patterns across robot OEM systems, fleet managers, ROS/ROS 2, PLC/SCADA, MES, WMS, ERP, IoT platforms, industrial data platforms and site operational workflows.
• Define robotics runtime and platform architecture across cloud, edge and GPU infrastructure, including connectivity, deployment topology, performance, scalability, resilience, security and cost trade-offs.
• Establish robotics observability, telemetry, diagnostics, remote operations, configuration management, software distribution, upgrade, rollback and lifecycle-management patterns.
• Partner with digital-twin and simulation teams to define robotics simulation, virtual commissioning, synthetic-data, robot-training and deployment-validation approaches.
• Define production-readiness and service-management standards covering testing, safety, cybersecurity, commissioning, supportability, operational continuity and transition from pilot to scaled deployment.
• Lead architecture reviews, design authority, architecture decision records, technical risk management and engineering governance throughout pursuits and delivery.
• Provide technical leadership and mentorship to robotics, automation, AI and platform engineering teams and establish reusable engineering standards and practices.
• Support pre-sales and solutioning through technical discovery, scoping, architecture proposals, estimates, demonstrations, partner selection, risk assessment and delivery transition.
• Build reusable reference architectures, adapters, integration patterns, test assets and accelerators for robotics intelligence, UOP, fleet operations and managed robotics services.
• Collaborate with ecosystem partners including NVIDIA, robotics OEMs, industrial automation providers, fleet-management vendors, cloud providers and industrial software companies.

Skills

ROS/ROS 2

Python

C++

Education

Bachelor's degree or equivalent

Tools

ROS/ROS 2

Job description

Accenture in the United States is seeking a Robotics Technical Architect to define end-to-end architecture for robotics intelligence platforms, autonomous systems, robotic fleets and services. You will shape patterns for foundation models, data pipelines and on-robot inference while guiding multi-robot orchestration and fleet management.

Lead architecture reviews, mentor robotics and platform teams, and collaborate with clients, ecosystem partners and delivery teams to implement scalable, secure