Robotics & Physical AI Platform Architect

Ll Oefentherapie; United States; On-site; USD 158,000 - 355,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Paid time off

401(k) with company matching

Paid parental leave

Flexible spending accounts

Job summary

Oracle is seeking a Robotics & Physical AI Architect to define the architecture for a large-scale robotics platform spanning cloud, edge, and on-device environments. You will establish reference architectures, APIs, and integration patterns to enable multiple engineering teams to build on a consistent foundation.

You will work across robotics software, AI workloads, and enterprise integration, influencing technical direction and mentoring senior engineers.

Qualifications

• 15+ years of software engineering experience in distributed systems.
• Deep expertise in cloud-native architecture, APIs, event-driven systems, microservices, and distributed platform design.
• Strong programming background in C++, Go, Java, Python, Rust, or similar languages.
• Experience with Kubernetes, containers, Linux, networking, and modern cloud platforms.
• Experience designing highly available, fault-tolerant systems across distributed cloud and edge environments.
• Strong understanding of systems security, authentication, authorization, distributed identity, and secure communications.
• Strong systems thinking and the ability to work across robotics software, distributed systems, AI platforms, networking, security, data platforms, and developer tooling.
• Experience defining APIs, SDKs, protocols, and integration patterns for heterogeneous distributed platforms.

Responsibilities

• Define long-term architecture and technical strategy for robotics and physical AI software platforms spanning cloud, edge, and on-device environments.
• Design scalable platform architectures that support autonomous robot fleets, heterogeneous robot vendors and form factors, AI workloads, and enterprise integrations.
• Fleet management, robot identity and provisioning, and device lifecycle management.
• Digital twins, mission planning and orchestration, and remote operations.
• Real-time telemetry, observability, and highly available, fault-tolerant distributed services.
• Software and model lifecycle management, including secure OTA updates and AI operationalization.
• Robotics data platforms supporting simulation, replay, analytics, benchmarking, and AI model improvement.
• Developer APIs, SDKs, protocols, and reusable integration patterns for robotics applications.
• Define the cloud-to-robot control-plane architecture and canonical APIs that provide a consistent platform across heterogeneous robot implementations.
• Design secure communication architectures between robots, edge devices, cloud services, and enterprise systems, including authentication, authorization, distributed identity, Zero Trust, and secure device lifecycle patterns.
• Define interoperability patterns for heterogeneous robotics platforms using ROS 2, DDS, MQTT, OPC-UA, VDA5050, OpenRMF, and related robotics middleware and industry standards.
• Partner with AI researchers to operationalize multimodal AI, Vision-Language-Action (VLA), embodied AI, reinforcement learning, world models, and future foundation models for physical AI systems.
• Define architecture for AI infrastructure, MLOps, and model lifecycle management across cloud, edge, and robot environments.
• Architect scalable data platforms for robotics workloads, including simulation, replay, analytics, benchmarking, telemetry, and iterative AI model improvement.
• Define clear architecture boundaries and interfaces across cloud fleet services, edge computing platforms, and on-device software so capabilities can be deployed consistently across diverse robotics environments.
• Establish reusable integration patterns across fleet orchestration, digital twins, telemetry and observability, robotics data platforms, AI infrastructure, and enterprise systems.
• Define fleet observability and remote-operations architecture that connects robot telemetry with cloud and edge services for operational visibility and lifecycle management.
• Architect the platform to support multiple robot classes, including autonomous mobile robots, humanoids, manipulators, drones, and industrial automation systems, without coupling the control plane to a single vendor or form factor.
• Partner across robotics software, cloud infrastructure, edge computing, networking, security, AI, and developer-platform teams to operationalize a coherent end-to-end architecture.
• Define security architecture for robots, including identity, secure communications, OTA updates, Zero Trust, and device lifecycle management.
• Establish architecture patterns for highly available, fault-tolerant distributed systems spanning robots, edge platforms, and cloud services.
• Evaluate robotics technologies, middleware, frameworks, simulation platforms, and industry standards to guide platform architecture decisions.
• Drive technical direction across multiple engineering teams and mentor senior engineers and architects.

Skills

C++

Go

Java

Python

Rust

Kubernetes

Linux

Cloud platforms

Systems thinking

Education

BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, or related field

Tools

ROS 2

DDS

MQTT

OPC-UA

VDA5050

OpenRMF

Gazebo

Isaac Sim

Job description

Oracle is seeking a Robotics & Physical AI Architect to define the architecture for a large-scale robotics platform spanning cloud, edge, and on-device environments. You will establish reference architectures, APIs, and integration patterns to enable multiple engineering teams to build on a consistent foundation.

You will work across robotics software, AI workloads, and enterprise integration, influencing technical direction and mentoring senior engineers.