Master AI Software Engineer

Description -

Job Summary

• This role is responsible for the design of advanced technology solutions to support the business strategy and objectives, with a particular focus on integrating AI models into AI-powered PCs. The role involves leading the development of innovative technology solutions that enable strategic initiatives to scale the business effectively and efficiently. A key aspect of this position is driving the operational excellence of AI model deployment, ensuring high-performance standards, and integrating cutting-edge AI technologies into systems. The role involves managing the departmental budget, setting team goals/KPIs, and driving performance management of direct reports, all while collaborating closely with cross-functional teams to ensure the successful implementation of complex AI-driven systems.

Responsibilities
• Plays a leading role in the development and integration of AI models (e.g., LLMs, SD, RL) into AI-powered PCs, ensuring alignment with business, technical, and security requirements.
• Leads the establishment of engineering standards, architectures, and the automation of software deployment processes within the context of AI models in production environments.
• Designs and develops end-to-end solutions for managing, protecting, and optimizing AI model performance within complex hardware and software systems.
• Drives strategic technology roadmaps and AI model integration plans for AI PC platforms, ensuring scalability, efficiency, and alignment with business objectives.
• Provides mentorship and technical guidance to teams responsible for data processing, model training, and fine-tuning (using tools like TensorFlow, PyTorch, etc.).
• Ensures that AI model deployment is optimized for performance on edge devices and AI PCs, leveraging hardware accelerators such as GPUs and NPUs.
• Works closely with cross-functional teams, including product management and design, to drive product and software features from concept to deployment.
• Develops innovative solutions to complex, unique problems affecting AI model deployment, tuning, and optimization in production environments.
• Provides leadership on functional strategy and policy development for AI integration across teams.
• Acts as a senior-level decision-maker and thought leader in AI model integration and performance optimization within the organization.

Education & Experience Recommended
• Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or a related discipline, or equivalent work experience.
• Typically has 12+ years of industry experience, with a proven track record in AI model integration, optimization, and large-scale software development, particularly within AI-driven hardware systems.

Preferred Certifications
• Programming Language/s Certification (Java, C++, Python, JavaScript, or similar).

Knowledge & Skills
• Experience running and integrating AI models (e.g., LLMs, SD, RL, etc.) in production environments, particularly for AI PC applications. Bonus points for expertise in optimizing AI model deployment and performance.
• Expertise in processing data, training, and fine-tuning models using frameworks such as TensorFlow, PyTorch, PEFT, and similar tools.
• Experience with on-edge inference techniques (e.g., ONNX, OpenVINO, QNN, TensorFlow Lite, Libtorch) and deploying models in constrained environments.
• Proficiency in at least two of the following languages: Python, C++, C#, C, Java, Scala.
• Extensive experience in performance evaluation, optimization of software, and AI model inference, particularly in hardware-constrained environments.
• Proven expertise in memory reduction, optimization techniques, and leveraging hardware acceleration for AI models (e.g., GPU, NPU).
• Strong experience working with multiple CPU platforms (e.g., AMD, Intel, ARM (AARCH64)) and optimizing for each platform’s specific capabilities.
• Deep understanding of AI model integration within AI-powered PCs, ensuring smooth performance across both hardware and software layers.

Cross-Org Skills
• Strong Leadership and Communication skills
• High Results Orientation
• Advanced Learning Agility and Digital Fluency
• Customer-Centric Thinking and Problem-Solving

Impact & Scope
• Impacts key strategic initiatives across the business, driving AI model innovation and integration at the enterprise level. Leads cross-functional teams and projects that span multiple divisions.

Complexity
• Provides highly innovative and strategic solutions to complex challenges, directly shaping the future of AI PC technologies and their integration into next-generation products.

Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Job -

Schedule -

Shift -

Travel -

Relocation -

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.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement