Senior Robotics Platform Architect for Autonomous Systems

Accenture; Hockanum (CT); On-site; USD 133,000 - 292,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Long-term disability

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a Robotics Technical Architect to lead end-to-end architecture for robotics intelligence platforms and fleets within its Physical AI portfolio. The role requires deep expertise in robotics systems, ROS/ROS 2, Python, C++, and cross‑functional collaboration with delivery teams and partners.

Travel is required up to 75% with focus on production deployment, safety, and scalable solutions across cloud, edge, and on-prem environments. CT location preferred for this posting.

Qualifications

• 8+ years of professional experience in robotics engineering, robotics software, autonomous systems, industrial automation or related fields.
• Demonstrated experience architecting and deploying robotics systems in production environments.
• Strong proficiency in ROS/ROS 2, Python and C++ for robotics applications and platform integration.

Responsibilities

• Define 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

Robotics engineering

ROS/ROS2

Python

C++

System integration

Industrial automation

Education

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

Tools

NVIDIA Isaac Sim

Job description

Accenture is seeking a Robotics Technical Architect to lead end-to-end architecture for robotics intelligence platforms and fleets within its Physical AI portfolio. The role requires deep expertise in robotics systems, ROS/ROS 2, Python, C++, and cross‑functional collaboration with delivery teams and partners.

Travel is required up to 75% with focus on production deployment, safety, and scalable solutions across cloud, edge, and on-prem environments. CT location preferred for this posting.