Software Architect - Cloud & Edge AI Platforms

ABOUT WIND RIVER

Wind River is a global leader in delivering software for mission-critical intelligent systems. For more than four decades, the company has been an innovator and pioneer, powering billions of systems that require the highest levels of security, safety, and reliability. The company has received industry recognition for its technology innovation and leadership, and for its workplace culture, including global Great Place to Work certification and being named a "Top Workplace" for ten consecutive years.

Wind River helps customers across automotive, aerospace, defense, industrial, medical, and telecommunications industries solve complex technology challenges on their journey toward the new intelligent machine economy. The company's software powers generation after generation of the safest, most secure systems in the world. Examples include playing a key role in NASA space missions such as Artemis I, the James Webb Space Telescope, and multiple Mars rovers. We've achieved recent 5G milestones including the world's first successful 5G data session with Verizon and building one of the largest Open RAN networks in the world with Vodafone.

About the Role

We are looking for a Software Architect to define and drive the architecture of nextgeneration platforms that seamlessly integrate cloudnative technologies with highperformance edge AI. This role sits at the intersection of distributed systems, AI/ML infrastructure, and missioncritical edge computing.

What You'll Do

Platform and Architecture Leadership

• Architect endtoend cloudtoedge AI platforms that support model training, optimization, deployment, and lifecycle management.
• Define scalable, modular, and secure architectures for distributed AI workloads across heterogeneous edge environments.
• Lead the design of cloudnative services, APIs, and orchestration layers that integrate with Wind River Studio and edge operating systems.
• Establish architectural patterns for hybrid and multicloud deployments, including Kubernetesbased edge clusters.

AI/ML Infrastructure and Deployment

• Design systems that support model versioning, CI/CD for AI, inference pipelines, and realtime data processing.
• Integrate AI frameworks (TensorFlow, PyTorch, ONNX Runtime, TensorRT, etc.) into cloudedge workflows.
• Collaborate with hardware teams to leverage acceleration technologies (GPU, NPU, FPGA, VPU) for optimized inference at the edge.

Reliability, Security & Performance

• Ensure platform architectures meet stringent requirements for determinism, safety, and reliability across missioncritical industries.
• Define security models for distributed AI, including data integrity, model protection, and secure edgetocloud communication.
• Optimize performance, scalability, and resource utilization across diverse edge hardware profiles.

Cross Functional Collaboration

• Partner with product management to define platform strategy, roadmap, and customerdriven requirements.
• Work with engineering teams to translate architectural vision into robust, productionready implementations.
• Engage with customers, partners, and industry groups to represent Wind River's technical leadership in cloud and edge AI.

What You Bring

Technical Depth

• 10+ years of experience in software architecture, distributed systems, cloud platforms, or embedded systems.
• Strong expertise in cloudnative technologies (Kubernetes, containers, microservices, service mesh).
• Deep understanding of AI/ML infrastructure, model deployment, and edge inference optimization.
• Experience with realtime systems, embedded Linux, or RTOSbased environments.
• Proficiency in C/C++, Python, and modern DevOps practices.
• Familiarity with cloud platforms (AWS, Azure, GCP) and hybrid cloud architectures.

AI/Edge Exposure

• Experience with missioncritical or safetycritical systems (automotive, aerospace, industrial, medical).
• Knowledge of virtualization technologies (KVM, ACRN, hypervisors) and secure partitioning.
• Background in distributed AI, federated learning, or edgetocloud orchestration frameworks.
• Contributions to opensource cloud, AI, or embedded systems projects.

Ways of Working

• A systemslevel mindset and the ability to design architectures that bridge cloud and edge environments.
• A passion for building intelligent, resilient platforms that power the next generation of autonomous and connected systems.
• Strong communication skills and the ability to influence technical direction across teams.
• Curiosity, innovation, and a drive to push the boundaries of cloudedge AI integration.

Why This Role Matters

This role is critical to translating platform vision into scalable, production-ready systems. As a Software Architect, you will shape platform strategy, lead architectural design, and collaborate across engineering, product, and customer teams to deliver scalable, secure, and intelligent cloud-to-edge solutions.

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