AI software application developers (CG)

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

Develop and optimize software for distributed AI infrastructure and applications, including LLMs, robotics, vision AI, and physical AI. Build scalable systems for AI training, inference, and model serving, including distributed components for compute, communication, storage, scheduling, and resource management. Analyze bottlenecks across hardware/software stacks, collaborate with engineers and researchers, and contribute to software architecture, prototyping, benchmarking, and performance analysis for next-generation AI platforms.

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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

Develop and optimize software for distributed AI infrastructure and applications, including LLMs, robotics, vision AI, and physical AI. Build scalable systems for AI training, inference, and model serving, including distributed components for compute, communication, storage, scheduling, and resource management. Analyze bottlenecks across hardware/software stacks, collaborate with engineers and researchers, and contribute to software architecture, prototyping, benchmarking, and performance analysis for next-generation AI platforms.
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, collaborating across Intel to deliver next-generation AI solutions.

Key Requirements

  • •Bachelor's, Master's, or PhD degree 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 through coursework, research projects, internships, open-source contributions, or personal projects in software development, AI, or distributed systems.
Experience:AIMachine learningDistributed systemsOpen-source
Education:
Skills:Analytical thinkingProblem-solvingCommunicationCollaborationSelf-motivation
Languages:English
Tech Stack:PythonC/C++RustPyTorchTensorFlowJAXVLLMSGLang

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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