HP
Embedded AI/ML Developer
$147K–$231K
Spring, Texas, United States of America +1 · Full-time · Posted Sep 30, 2026
- Location
- Spring, Texas, United States of America
Taipei, Taipei City, Taiwan Region - Experience
- 7–10 years of relevant experience in embedded software, firmware, AI/ML deployment, edge inference, or system-level software development.
- Education
- Recommended: Bachelor’s or Master’s degree in a listed or related technical discipline.
About the job
Develops and optimizes AI/ML software for embedded edge devices, integrating models with firmware and system software to deliver efficient intelligent features.
What you'll do
- Convert AI/ML models into production embedded implementations optimized for latency, memory, power, and compute constraints.
- Integrate inference engines, runtimes, and accelerators with firmware and system software; profile and tune performance.
- Collaborate across teams on requirements, architecture, validation, troubleshooting, and technical documentation.
What they ask for
- Hands-on experience deploying AI/ML models on embedded or constrained compute platforms.
- Strong embedded software development experience using C/C++ and Python.
- Experience integrating AI workloads with firmware, device drivers, RTOS, Linux, Windows, or low-level system software.
- Knowledge of embedded system architecture, inference pipelines, and performance optimization.
Nice to have
- Experience with model optimization and deployment tools such as quantization, pruning, compression, TensorRT, ONNX, or TFLite.
- Familiarity with AI validation, automated testing, CI/CD pipelines, and model benchmarking.
Pay
$147,050 to $230,850 USD annually (base salary)
Tools
C/C++, Python, PyTorch, TensorFlow, ONNX, TensorFlow Lite, OpenVINO, TensorRT
AI focus
Deploys and optimizes AI/ML models for edge devices, including model compression, quantization, pruning, inference-runtime integration, and hardware acceleration.
Model-written summary · the original posting is authoritative