Ecosystem Technical Enabling Engineer

Intel
Shenzhen
Workplace: OnsiteFull timeFunction: Software EngineeringEducation: mastersSkills: ["Analytical thinking","Problem-solving","Collaboration","Cross-functional communication"]

Join Intel’s Technical Enablement Group to build and enable agentic AI systems on AI PC platforms. You’ll set up AI development environments (OS, drivers, frameworks, toolchains), experiment with AI models and LLM/agent workflows, and implement pretraining/fine-tuning pipelines and coding tasks across infrastructure and application layers. Collaborate with cross-functional teams on AI software enablement and HW/SW integration, and evaluate usability, performance, and functionality on client devices.

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FursaFursa
Intel
Intel
19 hours ago

Ecosystem Technical Enabling Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 47 minutes agoStatus: Live

Job Summary

Join Intel’s Technical Enablement Group to build and enable agentic AI systems on AI PC platforms. You’ll set up AI development environments (OS, drivers, frameworks, toolchains), experiment with AI models and LLM/agent workflows, and implement pretraining/fine-tuning pipelines and coding tasks across infrastructure and application layers. Collaborate with cross-functional teams on AI software enablement and HW/SW integration, and evaluate usability, performance, and functionality on client devices.
Location: Shenzhen
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Graduate level

Key Responsibilities

  • •Set up and maintain AI development environments on AI PC platforms, including OS, drivers, frameworks, and toolchains.
  • •Develop and experiment with agentic AI systems, including multi-step reasoning, tool usage, memory, and task orchestration.
  • •Explore and integrate new AI models and applications for AI PC usage scenarios.
  • •Support pretraining and fine-tuning methodologies, including data pipelines, training workflows, and model integration.
  • •Evaluate functionality, performance, and usability of agentic AI workloads on client platforms and document experiments, design decisions, and best practices.

Key Requirements

  • •Master’s degree program in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
  • •Strong AI/deep learning fundamentals, including neural network models and training concepts.
  • •Proficiency in Python and C++.
  • •Experience with AI frameworks such as PyTorch and/or TensorFlow.
  • •Familiarity with LLM-based workflows, AI agents, or task-oriented AI systems; interest in AI systems development on client platforms / AI PC.
Experience:AIDeep learningLLMsAI agentsAI PC
Education:Master's
Skills:Analytical thinkingProblem-solvingCollaborationCross-functional communication
Tech Stack:PythonC++PyTorchTensorFlowLLMOpenClaw

Company Brief

Intel
Designs and manufactures semiconductor chips, processors, and related hardware for PCs, data centers, networking, and embedded applications, while providing software and services to accelerate computing across industries globally.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1968
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Glassdoor: 3.8
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