AI software application developers (CG)

Intel
Shanghai, Beijing
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Analytical thinking","Problem-solving","Collaboration","Communication","Self-motivated"]

Design, develop, and optimize AI software platforms and distributed infrastructure for large-scale training, inference, and model serving. Build scalable systems spanning compute, communication, storage, scheduling, and resource management, and tackle performance bottlenecks across hardware and software stacks. Collaborate with Intel engineers and researchers to evaluate emerging technologies, prototype and benchmark solutions, and improve scalability, reliability, and efficiency for next-generation intelligent systems.

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FursaFursa
Intel
Intel
5 hours ago

AI software application developers (CG)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Design, develop, and optimize AI software platforms and distributed infrastructure for large-scale training, inference, and model serving. Build scalable systems spanning compute, communication, storage, scheduling, and resource management, and tackle performance bottlenecks across hardware and software stacks. Collaborate with Intel engineers and researchers to evaluate emerging technologies, prototype and benchmark solutions, and improve scalability, reliability, and efficiency for next-generation intelligent systems.
Location: Shanghai, Beijing
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Design, develop, and optimize software for AI applications and infrastructure.
  • •Build scalable systems for AI training, inference, and model serving.
  • •Develop distributed software components for compute, communication, storage, scheduling, and resource management.
  • •Research and implement technologies to improve performance, scalability, reliability, and efficiency of AI systems.
  • •Analyze and optimize system bottlenecks across hardware and software stacks; collaborate on architecture, prototyping, benchmarking, and performance analysis.

Key Requirements

  • •Bachelor's, Master's, or PhD in Computer Science, Artificial Intelligence, Electronic Engineering, Robotics, Mathematics, or a related technical field.
  • •Strong programming skills in Python, C/C++, Rust, or similar languages.
  • •Solid understanding of data structures, algorithms, operating systems, computer architecture, and software engineering fundamentals.
  • •Basic knowledge of machine learning, deep learning, and AI system concepts.
  • •Experience via coursework, research projects, internships, open-source contributions, or personal projects in software development, AI, or distributed systems.
Education:
Skills:Analytical thinkingProblem-solvingCollaborationCommunicationSelf-motivated
Languages:English
Tech Stack:PythonC/C++RustMachine learningDeep learningAIDistributed systemsAI trainingInferenceModel servingPyTorchTensorFlowJAXVLLMSGLangLLMsMultimodal modelsVision AIRoboticsPhysical AI

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
Glassdoor
Glassdoor: 3.8
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