Induct HR Solutions
Website:
inducthr.com
Job details:
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 : inducthr@gmail.com
Subject: Application for Lead/Senior AI Enablement Engineer
#Hiring #AIEnablement #EdgeAI #NPU #EmbeddedAI #MachineLearning #Qualcomm #NVIDIA #TFLite #PyTorch #SeniorEngineer
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
Click on Apply to know more.