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.

• Design and implement core components of Wind River's cloud-to-edge 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 cloud-native 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.

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

• Ensure platform components meet stringent requirements for determinism, safety, and reliability in mission-critical 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.

• 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 open-source initiatives and represent Wind River in technical communities when appropriate.

• 2-5+ years of experience in software engineering, distributed systems, cloud platforms, or embedded systems.
• Strong hands-on experience with cloud-native 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 Linux-based systems, real-time environments, or embedded platforms.
• Familiarity with cloud platforms (AWS, Azure, GCP) and hybrid cloud architectures.

• Experience in mission-critical or safety-critical domains (automotive, aerospace, industrial, medical).
• Knowledge of virtualization technologies (KVM, ACRN, hypervisors) and secure partitioning.
• Background in distributed AI, federated learning, or edge-to-cloud orchestration frameworks.
• Contributions to open-source cloud, AI, or embedded systems projects.

• 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 cloud-edge AI integration.

• 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.