Senior Engineer - 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.

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.

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. If you want to be part of a unique culture where the lived experience is based on our cultural attributes of growth mindset, customer-focus, and diversity, equity, inclusion & belonging, come join us and help advance the future software defined world.

About the Role

We are looking for a Senior Engineer 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

• 2-5+ 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.

What We Offer

• The opportunity to shape the future of industrial, medical, automotive, telecommunications, aerospace, government, and defense solutions with cutting-edge technology.

• Competitive Salary: Attractive base salary with performance-based incentives - UNCAPPED Plan.

• Benefits: Comprehensive benefits package including health, dental, vision, and retirement plans.

• Growth Opportunities: Opportunities for professional development and career advancement within a leading technology company.

• Innovative Environment: Work with cutting-edge technology and a team of passionate professionals dedicated to driving innovation.

Join us at Wind River, where we're not just shaping technology; we're shaping the future of a safer, more connected world. Your journey to make a meaningful impact begins here.

APPLICANT PRIVACY NOTICE:

Your privacy is of the utmost importance to us. At Wind River, we strictly adhere to all applicable data privacy laws. Please review Wind River's Applicant Privacy Notice, which can be foundhere.

Wind River is an Equal Opportunity Employer with a commitment to diversity. We prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

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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.