
Member of Technical Staff – Cloud & Edge AI Platforms
Aptiv
full-time
Posted on:
Location Type: Office
Location: California • United States
Visit company websiteExplore more
Job Level
Tech Stack
About the role
- 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)
- 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
- Ensure platform components meet stringent requirements for determinism, safety, and reliability in mission-critical industries
- Mentor junior engineers and contribute to engineering best practices, design reviews, and technical roadmaps
Requirements
- 8+ 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
Benefits
- Health insurance
- Retirement plans
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
C/C++PythonKubernetescontainersmicroservicesAI/ML infrastructuremodel deploymentedge inference optimizationDevOps practicesvirtualization technologies
Soft Skills
mentoringengineering best practicesdesign reviewstechnical roadmaps