Embedded AIML Developer

Description -

The Embedded AI/ML Developer will design develop and optimize AI-enabled embedded software solutions for HPs 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 model optimization inference runtime integration performance tuning debugging documentation and staying current with emerging edge AI technologies tools and industry best practices.

Responsibilities

• Designs develops and optimizes embedded AI/ML software for edge devices including PCs docking solutions displays peripherals and other intelligent client platforms.
• Converts AI/ML algorithms and proof-of-concept models into efficient production-quality embedded implementations optimized for latency memory power and compute constraints.
• Integrates machine learning inference engines model runtimes and AI accelerators into embedded firmware and system software environments.
• Collaborates with cross-functional teams to define AI feature requirements system architecture data flow model deployment strategy and validation plans.
• Profiles and tunes embedded AI workloads to improve inference performance reduce memory footprint improve responsiveness and optimize power consumption.
• Develops and maintains software interfaces between AI/ML components firmware device drivers sensors embedded controllers and host applications.
• Supports model compression quantization pruning benchmarking and deployment using embedded AI frameworks and hardware acceleration technologies.
• Troubleshoots complex system-level issues involving AI inference firmware behavior sensor data device communication and platform integration.
• Creates and maintains technical documentation including architecture descriptions design specifications model deployment guides validation procedures and integration notes.
• Explores emerging embedded AI TinyML NPU MCU sensor fusion and edge inference technologies to help drive innovation across future HP platforms.

Education & Experience Recommended

• Bachelors or Masters degree in Computer Science Computer Engineering Statistics Mathematics Artificial Intelligence Machine Learning Robotics or a related technical discipline.
• 710 years of relevant experience in embedded software firmware AI/ML deployment edge inference or system-level software development.

Preferred Certifications

Embedded AI/ML Engineering

• 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 for prototyping automation model conversion and testing.
• Experience working with sensors camera/audio pipelines telemetry data wireless modules or contextual signals used by AI-enabled experiences.
• Knowledge of embedded communication protocols such as UART I2C SPI USB PCIe Bluetooth Wi-Fi or other device interconnect standards.
• Ability to read hardware specifications device datasheets schematics and platform architecture documents to support AI/ML feature integration.

Knowledge & Skills

• Proficient in C/C and Python; familiar with embedded scripting automation build systems and model deployment workflows.
• Experience with AI/ML frameworks and formats such as PyTorch TensorFlow ONNX TensorFlow Lite OpenVINO or similar toolchains.
• Knowledge of embedded system architecture boot flow firmware interfaces memory constraints power management and real-time execution tradeoffs.
• Skilled in embedded debugging and profiling using JTAG SWD logic analyzers oscilloscopes performance counters tracing tools or vendor-specific debug environments.
• Experience optimizing AI workloads for latency throughput memory footprint thermal behavior and battery life on constrained devices.
• Familiarity with AI accelerator SDKs NPU/DSP/GPU offload heterogeneous compute and hardware/software co-optimization.
• Understanding of RTOS concepts Linux/Windows system software multi-threaded development secure update mechanisms and production-quality embedded software practices.
• Strong analytical and problem-solving skills with the ability to debug complex interactions across model behavior firmware drivers sensors and host software.
• Ability to work independently and collaboratively in a cross-functional engineering environment translating AI concepts into reliable product experiences.

The pay range for this role is$147050to$230850USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location job-related knowledge skills and experience.

Benefits:

HP offers a comprehensive benefits package for this position including:

• 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 (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time with or without notice subject to applicable law.

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Equal Opportunity Employer (EEO) -

HP Inc. provides equal employment opportunity to all employees and prospective employees without regard to race color religion sex national origin ancestry citizenship sexual orientation age disability or status as a protected veteran marital status familial status physical or mental disability medical condition pregnancy genetic predisposition or carrier status uniformed service status political affiliation or any other characteristic protected by applicable national federal state and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information review HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal