Edge AI/ML Engineer for Embedded Systems

Hewlett Packard Co.; Spring (TX); Hybrid; USD 147,000 - 231,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Parental leave (4-12 weeks)

Paid holidays (11)

Paid vacation/sick leave

Job summary

Hewlett Packard Co. seeks an Embedded AI/ML Developer to design, implement, and optimize AI-enabled embedded software for HP’s commercial PC and connected devices.

The role focuses on edge ML deployment, optimizing latency, memory, and power while integrating AI with firmware and system software. Collaborate with hardware, firmware, software, and data science teams to translate AI concepts into production-ready implementations, including model optimization, verification, and documentation.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Robotics or a related technical discipline.
• 7–10 years of relevant experience in embedded software, firmware, AI/ML deployment, edge inference, or system-level software development.
• Hands-on experience deploying AI/ML models on embedded systems, edge devices, MCUs, SoCs, NPUs, DSPs, or other constrained compute platforms.
• Experience with model optimization techniques such as quantization, pruning, compression, TensorRT, ONNX, TFLite, or similar deployment toolchains.
• Strong understanding of ML inference pipelines, data preprocessing, sensor input handling, feature extraction, and runtime performance tuning.
• Experience integrating AI workloads with embedded firmware, device drivers, RTOS, Linux, Windows, or low-level system software environments.
• Familiarity with AI validation, automated testing, CI/CD pipelines, model benchmarking, and regression testing for embedded platforms.
• Embedded Systems and Platform Integration—Strong embedded software development experience using C/C++ and Python, plus knowledge of device drivers, sensors, and platform integration.

Responsibilities

• Designs, develops, and optimizes embedded AI/ML software for edge devices and platforms.
• Converts AI/ML algorithms into production-quality embedded implementations with optimized latency, memory, and power.
• Integrates inference engines, runtimes, and AI accelerators into firmware and system software.
• Collaborates with hardware, firmware, software, and data science teams to define AI feature requirements and deployment strategies.
• Profiles and tunes AI workloads to improve performance and reduce memory footprint.
• Develops interfaces between AI components, firmware, and host applications; supports model compression and benchmarking.
• Troubleshoots complex system-level issues involving AI inference, firmware, and sensor data.
• Documents architecture, design, deployment guides, validation procedures, and integration notes.
• Explores emerging edge AI technologies to drive innovation across HP platforms.

Skills

C/C++

Python

TensorRT

TensorFlow

PyTorch

ONNX

Embedded debugging

RTOS

Linux

Windows

JTAG

Education

Bachelor’s degree in CS/EE/AI

Master’s degree in CS/EE/AI

Tools

TensorRT

OpenVINO

TensorFlow Lite

Firmware tooling

Debug tools (JTAG/SWD)

Job description

Hewlett Packard Co. seeks an Embedded AI/ML Developer to design, implement, and optimize AI-enabled embedded software for HP’s commercial PC and connected devices.

The role focuses on edge ML deployment, optimizing latency, memory, and power while integrating AI with firmware and system software. Collaborate with hardware, firmware, software, and data science teams to translate AI concepts into production-ready implementations, including model optimization, verification, and documentation.