Robotics Platform Architect - Multi-Robot Orchestration

Accenture; San Diego (CA); On-site; USD 203,000 - 338,000; Full time

Job summary

Accenture in California seeks a Robotics Technical Architect to define the architecture, integration, deployment and scaling of robotics intelligence and fleet orchestration within Accenture's Physical AI portfolio. You will work with solution architects and delivery teams to realize end-to-end robotics platforms in production environments.

Travel up to 75% is required; 8+ years in robotics; strong ROS/ROS 2, Python and C++ skills; experience with industrial automation and cloud/edge deployment;

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 and own end-to-end technical architecture for robotics intelligence platforms, autonomous systems, robotic fleets and robotics services, covering robot hardware, software, middleware, AI models, orchestration, integration and operational support.
• 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++

Robotics systems

Fleet management

Cloud/edge deployments

Education

Bachelor's degree or equivalent (minimum 12 years) work experience

Tools

Docker

Kubernetes

CI/CD

OPC UA

Job description

Accenture in California seeks a Robotics Technical Architect to define the architecture, integration, deployment and scaling of robotics intelligence and fleet orchestration within Accenture's Physical AI portfolio. You will work with solution architects and delivery teams to realize end-to-end robotics platforms in production environments.

Travel up to 75% is required; 8+ years in robotics; strong ROS/ROS 2, Python and C++ skills; experience with industrial automation and cloud/edge deployment;