We're Hiring | Lead/Senior AI Enablement Engineer
Are you at the cutting edge of deploying AI on embedded hardware?
We are looking for a Senior AI Enablement Engineer with hands-on experience in AI accelerator toolchains - Qualcomm AI Engine, TI C7x/TDA4x, NVIDIA GPUs, or MediaTek APU. The role involves AI-adjacent kernel optimisation, NPU/DSP accelerator work, model quantisation, and deployment on embedded Linux, RTOS, or bare-metal environments.
If you bring strong Python and C/C++ skills along with working knowledge of ONNX, TFLite, and PyTorch, we want to connect with you.
📩 Apply now :
Subject: Application for Lead/Senior AI Enablement Engineer
Location: Bangalore (Work from Office mandatory)
Experience: 5-10 years
Role Type: Permanent/Contract
Role Overview
We are looking for a Senior AI Enablement Engineer with hands-on experience in AI accelerator toolchains and AI-adjacent kernel optimisation. The ideal candidate brings exposure to NPU/DSP accelerators and strong programming skills for kernel-level work.
Key Responsibilities
Work on AI-adjacent kernel optimisation
Engage with NPU/DSP accelerator development and exposure
Implement and optimize models using AI accelerator toolchains
Required Skills & Experience
Hands-on experience with at least one AI accelerator toolchain: Qualcomm AI Engine, TI C7x/TDA4x, NVIDIA GPUs, MediaTek APU, or similar
Strong Python; C/C++ for kernel-level work
Working knowledge of ONNX, TFLite, PyTorch model formats
Understanding of quantisation techniques (INT8, FP16, mixed precision, etc.)
Familiarity with embedded Linux, RTOS, or bare-metal environments