Description
The Embedded AI/ML Developer will design, develop, and optimize AI-enabled embedded software solutions for HP's commercial PC and connected device portfolio.
This role focuses on deploying efficient machine learning models at the edge, integrating AI capabilities with firmware and system software, and enabling intelligent user experiences across resource-constrained platforms.
The engineer will work closely with hardware, firmware, software, and data science teams to translate AI/ML concepts into production-ready embedded implementations.
Responsibilities include:
- Designing, developing, and optimizing embedded AI/ML software for edge devices, including PCs, docking solutions, displays, peripherals, and other intelligent client platforms.
- Converting AI/ML algorithms and proof-of-concept models into efficient, production-quality embedded implementations optimized for latency, memory, power, and compute constraints.
- Integrating machine learning inference engines, model runtimes, and AI accelerators into embedded firmware and system software environments.
- Collaborating with cross-functional teams to define AI feature requirements, system architecture, data flow, model deployment strategy, and validation plans.
- Profiling and tuning embedded AI workloads to improve inference performance, reduce memory footprint, improve responsiveness, and optimize power consumption.
- Developing and maintaining software interfaces between AI/ML components, firmware, device drivers, sensors, embedded controllers, and host applications.
- Supporting model compression, quantization, pruning, benchmarking, and deployment using embedded AI frameworks and hardware acceleration technologies.
- Troubleshooting complex system-level issues involving AI inference, firmware behavior, sensor data, device communication, and platform integration.
- Creating and maintaining technical documentation, including architecture descriptions, design specifications, model deployment guides, validation procedures, and integration notes.
- Exploring emerging embedded AI, TinyML, NPU, MCU, sensor fusion, and edge inference technologies to help drive innovation across future HP platforms.
The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity.
Benefits:
- Health insurance
- Dental insurance
- Vision insurance
- Long term/short term disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- Generous time off policies, including;
- 4-12 weeks fully paid parental leave based on tenure
- 11 paid holidays
- Additional flexible paid vacation and sick leave