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Industry Vertical

Industrial IoT and Manufacturing Careers

Explore 3 career paths in the Industrial IoT and Manufacturing industry. Compare salaries, AI risk, and future demand to plan your career transition.

3 Roles
9.1 Avg Demand
15% Avg AI Risk
3 Remote-Friendly
AI Engineering Advanced

AI Edge AI Engineer

An AI Edge Engineer designs, optimizes, and deploys machine learning models that run on resource-constrained edge devices such as …

Demand 9.1/10
AI Risk 15%
Salary $120,000-$210,000/yr
Model compression techniques: quantization (INT8, INT4), pruning, knowledge distillationEdge inference frameworks: TensorFlow Lite, ONNX Runtime, TensorRT, Core ML, Apache TVMEmbedded C/C++ and Rust for resource-constrained platformsHardware acceleration profiling on NPUs, GPUs, DSPs, and FPGAs +8
Remote Requires Coding 9mo
AI Engineering Advanced

AI On-Device AI Engineer

An AI On-Device AI Engineer specializes in deploying, optimizing, and running machine learning models on edge hardware-smartphones…

Demand 9.1/10
AI Risk 15%
Salary $130,000-$220,000/yr
Model compression techniques: pruning, quantization-aware training, knowledge distillation, and low-rank factorizationEdge inference frameworks: TensorFlow Lite, ONNX Runtime Mobile, Core ML, ExecuTorch, and Apache TVMHardware acceleration targets: ARM NEON/SVE, Qualcomm Hexagon DSP, Apple Neural Engine, NVIDIA Jetson, Google Edge TPUQuantization mastery: INT8, INT4, mixed-precision, calibration datasets, and per-channel vs. per-tensor schemes +8
Remote Requires Coding 10mo