Base: attractive base salary with performance-base...
Hybrid
Cloud-native infrastructure
Edge computing
Distributed ai platforms
Design and implement core components of Wind River’s cloud‑to‑edge AI platform, including orchestration layers, data pipelines, and model lifecycle management
Job Summary
Design and implement core components of Wind River’s cloud‑to‑edge AI platform, including orchestration layers, data pipelines, and model lifecycle management.
Implement systems for model deployment, versioning, CI/CD for AI, and real‑time inference pipelines, optimizing inference performance across diverse hardware accelerators.
Work closely with architects, senior engineers, and product managers to translate platform vision into robust implementations and mentor junior engineers.
Matching Summary
Design and implement core components of Wind River’s cloud‑to‑edge AI platform, including orchestration layers, data pipelines, and model lifecycle management.
Salary
Base: Attractive base salary with performance-based incentives - UNCAPPED Plan; Bonus/Equity: Not specified; Benefits: Comprehensive benefits package including health, dental, vision, and retirement plans
Skills & Requirements
Must-have
Cloud-native infrastructure
Edge computing
Distributed AI platforms
Microservices, containerization, service mesh
AI frameworks integration
Performance optimization
Nice-to-have
Mission-critical domains experience
Virtualization technologies knowledge
Federated learning background
Open-source contributions
Growth mindset, customer-focus
Curiosity and initiative
Key Requirements
3 to 5 years of software engineering experience
Bachelor's degree in Computer Science, Electrical Engineering, or related field
Proficiency in C/C++ programming
Familiarity with Linux systems
Experience with version control (Git)
Must be legally authorized to work in the United States
Work Rights
Must be legally authorized to work in the United States