Associate Engineer - Edge AI

About the role

You will help build and sustain the platform alongside Windriver team that runs AI Systems on the device — a Rust-based system that manages AI application lifecycles across a heterogeneous fleet of edge hardware. This is a hands-on role on hard systems problems: constrained compute, cross-architecture builds, OTA updates, and production-grade observability.

What you'll do

• Implement and test components of the edge packaging and runtime system — a containerless / OCI-based approach to shipping AI Systems to heterogeneous devices
• Contribute to the on-device orchestration platform and help support OTA update and lifecycle management for fielded devices
• Measure and improve inference and resource usage on constrained CPU/GPU/NPU hardware
• Work on cross-compilation and CI/CD pipelines for reproducible, secure multi-architecture builds
• Help integrate the device fleet with the cloud control plane and backend services (REST/gRPC, OpenAPI, MQTT)

What you need

• 1–3 years in data science & ai
• Machine learning
• Linux
• CI/CD
• Rust
• gRPC
• Git
• B.Tech or B.E. or B.Sc or BCA or Class 10

Good to have

• Python
• LLMs
• AWS
• PyTorch
• C++
• C