Principal Engineer AI SDK

Overview

Principal Engineer AI SDK is a senior individual contributor technical lead responsible for architecture and development of a Linux-based AI SDK and embedded AI software stacks.

What you'll do

• Drive architecture, development, and production of embedded AI software stacks on Linux-based RISC-V AI hardware.
• Lead end-to-end Linux SDK development, including Board Support Packages (BSP), kernel drivers, and tooling.
• Lead firmware/OS bring-up activities for the platform.
• Optimize neural network acceleration for AI/ML workloads.
• Build developer tooling for the SDK.
• Bridge SoC hardware with production frameworks like PyTorch or TensorFlow.

What you'll need

• Have 10+ years of software engineering, hardware architecture, Linux-based SDK, ML systems, or related fields.
• Possess deep expertise in CPU and SoC architecture, including memory hierarchies and power management, and their interaction with AI/ML workloads.
• Be familiar with AI compiler infrastructure such as MLIR-based toolchains, IREE, TVM, or TFLite.
• Establish automated testing frameworks, system observability, and CI/CD pipelines for SDK integration and performance regression testing.
• Demonstrate track record of technical leadership and cross-functional collaboration skills.
• Have a BS or MS (preferred) in EE, CE, CS, or an equivalent field.

Details

• Location: Bengaluru, Central, Karnataka, India.