Member of Technical Staff - Cloud & Edge AI Platforms

About the Role

We are looking for a Member of Technical Staff (MTS) to play a key technical leadership role in designing and advancing Wind River's nextgeneration intelligent systems platform. This position is ideal for an engineer who thrives at the intersection of cloudnative infrastructure, edge computing, and AI/ML systems-and who wants to shape the architecture and implementation of distributed AI platforms used in missioncritical environments.

What You'll Do

Architecture & Platform Development

• Design and implement core components of Wind River's cloudtoedge AI platform, including orchestration layers, data pipelines, and model lifecycle management.
• Develop scalable, modular, and secure software architectures for distributed AI workloads across heterogeneous edge environments.
• Build cloudnative services and APIs that integrate seamlessly with Wind River Studio and edge operating systems (VxWorks, Linux).
• Contribute to architectural decisions involving microservices, containerization, service mesh, and hybrid cloud deployments.

AI/ML Infrastructure & Optimization

• Implement systems for model deployment, versioning, CI/CD for AI, and realtime inference pipelines.
• Integrate AI frameworks (TensorFlow, PyTorch, ONNX Runtime, TensorRT) into cloudedge workflows.
• Optimize inference performance across diverse hardware accelerators (GPU, NPU, FPGA, VPU).

Performance, Reliability & Security

• Ensure platform components meet stringent requirements for determinism, safety, and reliability in missioncritical industries.
• Implement security best practices for distributed AI, including model protection, secure communication, and data integrity.
• Profile, tune, and optimize system performance across cloud and edge environments.

Collaboration & Technical Leadership

• Work closely with architects, senior engineers, and product managers to translate platform vision into robust implementations.
• Mentor junior engineers and contribute to engineering best practices, design reviews, and technical roadmaps.
• Engage with customers and partners to understand requirements and support advanced solution development.
• Contribute to opensource initiatives and represent Wind River in technical communities when appropriate.

What You Bring

Technical Depth

• 8+ years of experience in software engineering, distributed systems, cloud platforms, or embedded systems.
• Strong handson experience with cloudnative technologies (Kubernetes, containers, microservices).
• Solid understanding of AI/ML infrastructure, model deployment, and edge inference optimization.
• Proficiency in C/C++, Python, and modern DevOps practices (CI/CD, GitOps).
• Experience with Linuxbased systems, realtime environments, or embedded platforms.
• Familiarity with cloud platforms (AWS, Azure, GCP) and hybrid cloud architectures.

AI/Edge Exposure

• Experience in missioncritical or safetycritical domains (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 strong engineering mindset with the ability to design, implement, and optimize complex distributed systems.
• A passion for building intelligent, resilient platforms that power the next generation of autonomous and connected systems.
• The ability to collaborate effectively across teams and influence technical direction.
• Curiosity, initiative, 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 an MTS, you will contribute deep technical expertise, lead complex engineering initiatives, mentor teams, and collaborate across product, research, and customer organizations to deliver scalable, secure, and highperformance cloudtoedge AI capabilities.

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Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.