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The Role and Impact
We are seeking an experienced AI/ML Technologist to lead the transformation of client platform technologies, debug, and power/performance domains using advanced AI tools and machine learning techniques.
This role will drive innovation by leveraging cutting-edge Agentic AI architectures to enhance efficiency, scalability, and intelligence across client product development, debugging, and power-performance optimization workflows.
Key Responsibilities
- Define and implement scalable AI/ML architectures to modernize platform technologies, debug, and power/performance workflows.
- Design and develop intelligent, autonomous agents capable of self-orchestrating debugging, analysis, and optimization tasks, enabling continuous learning and decision-making.
- Power and Performance Analytics: Develop advanced analytics frameworks to monitor, predict, and optimize power efficiency and system performance metrics for client products.
- Data-Driven Insights: Leverage ML models and telemetry data to deliver actionable insights for system-level optimization, anomaly detection, and performance bottleneck analysis.
- Cross-Functional Collaboration: Partner with hardware, software, and platform engineering teams to integrate AI-driven solutions into existing ecosystems.
Key Skills and Expertise:
- Strong background in Machine Learning, Deep Learning, and AI system design
- Experience with Agentic AI / autonomous systems / multi-agent frameworks
- Knowledge of platform technologies, system debug, and power/performance optimization workflows
- Proficiency in data analytics, performance modeling, and optimization techniques
- Experience with cloud platforms, distributed systems, and scalable pipelines
- Familiarity with MLOps and production deployment of AI systems
- Exposure to reinforcement learning, decision systems, or adaptive agents
- Proficiency in Python (primary for AI/ML, data pipelines)
- Strong knowledge of C/C++ (for system-level, performance-critical components)
- Familiarity with Power Shell scripting (automation)
Preferred Qualifications and Experience
- Minimum Experience - 7+ Years of experience with Bachelor's or 8+ years with Master's degree in Computer Science, Electronics, or related fields
- Familiarity with MLOps and production AI deployment
- Understanding of memory, CPU, GPU, and system architecture
- Debugging at system/software/hardware interaction level
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.*
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.