Sr. Gaming AI Engineer

Sr. Gaming AI Engineer

Description -

We are seeking a highly skilled Gaming AI Engineer with strong system engineering and hands-on coding experience to design, develop, and integrate AI-driven capabilities across HP’s Gaming Solutions portfolio. This role bridges AI model development, system-level optimization, and real-world deployment on gaming PCs, enabling intelligent, performant, and scalable gaming experiences.

Key Responsibilities

AI Development & Coding

• Design, develop, and optimize AI/ML models for gaming applications (e.g., inference optimization, gameplay intelligence, personalization).
• Write production-quality code in Python, C++, and/or C# for AI pipelines, model integration, and runtime systems.
• Implement and fine-tune AI models using frameworks such as PyTorch, TensorFlow, ONNX Runtime, or DirectML.
• Develop and optimize real-time inference pipelines for low-latency gaming environments.

System Engineering & Integration

• Architect and integrate AI capabilities across hardware, OS, drivers, and gaming applications.
• Optimize AI workloads across CPU, GPU, and NPU architectures, leveraging platform-specific accelerations.
• Collaborate with silicon, driver, and OS teams to enable end-to-end system-level AI performance tuning.
• Lead validation and benchmarking of AI features across gaming devices to ensure performance, stability, and scale.

Gaming Experience Innovation

• Develop AI-driven features that enhance gaming experiences (e.g., performance optimization, adaptive systems, content generation).
• Collaborate with Product Managers to translate emerging hardware/software technologies into differentiated gaming capabilities.
• Prototype new AI-powered gaming experiences and iterate based on user feedback.

Productization & Ecosystem

• Support end-to-end product development including NPI readiness, Validation, and press/influencer readiness.
• Work with R&D teams to resolve technical issues and ensure seamless integration of AI features.
• Stay current with AI trends (Generative AI, edge AI, real-time inference) and gaming ecosystem advancements.

Community & Thought Leadership

• Engage with gaming communities, reviewers, and influencers to understand trends and feedback.
• Create demos, benchmarks, and technical content showcasing AI-powered gaming features.

Education and Experience Required

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field.

Technical Skills (Core Emphasis)

• Strong programming experience in Python, C++, or C# with demonstrated AI/ML project work.
• Hands-on experience in training, fine-tuning, and deploying AI/ML models.
• Experience with model optimization techniques (quantization, pruning, batching, hardware acceleration).
• Understanding of system-level architecture (CPU/GPU scheduling, memory management, performance profiling).
• Experience working with AI on edge devices / client platforms (Windows AI stack preferred).
• Familiarity with APIs and runtimes such as DirectML, CUDA, OpenVINO, or similar frameworks.

Gaming & Platform Experience

• Experience with game engines (Unity, Unreal Engine) and integration of AI features into gameplay systems.
• Understanding of gaming hardware, performance tuning, and benchmarking methodologies.

Additional Preferred Qualifications

• Experience with Generative AI (LLMs, diffusion, multimodal models) in real-time or edge scenarios.
• Exposure to AI-powered system features such as content generation, optimization layers, or personalization engines.
• Familiarity with cloud-to-edge AI pipelines.

What Makes This Role Unique

• Direct impact on AI PC + Gaming convergence, a priority area for HP.
• Opportunity to lead system-level AI innovation, not just model development.
• Strong alignment with real-world gamer experience, NPI readiness, and community feedback loops.

The pay range for this role is $105,050 to $161,800 USD 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: