AI Software Development Engineer

Intel
Shanghai
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Curiosity","Self-motivation","Independent judgment","Problem-solving","Cross-team communication"]

Build on-device multimodal AI by collaborating with model teams to deploy LLMs, VLMs, image/video generation models, and AI Agents on PCs and end devices. You’ll prototype inference pipelines, media codecs, and automation tooling using Python/C/C++, then take ideas through technical evaluation, system integration, performance tuning, and product iteration. Work on hardware-software co-optimization across CPUs, GPUs, and NPUs with cross-domain stakeholders.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Intel
Intel
3 days ago

AI Software Development Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Build on-device multimodal AI by collaborating with model teams to deploy LLMs, VLMs, image/video generation models, and AI Agents on PCs and end devices. You’ll prototype inference pipelines, media codecs, and automation tooling using Python/C/C++, then take ideas through technical evaluation, system integration, performance tuning, and product iteration. Work on hardware-software co-optimization across CPUs, GPUs, and NPUs with cross-domain stakeholders.
Location: Shanghai
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Collaborate with model teams to drive on-device deployment of LLMs, VLMs, image/video generation models, and AI Agents.
  • •Rapidly prototype ideas and develop inference pipelines, media codecs, and automation tooling using Python/C/C++.
  • •Support the full lifecycle: technical evaluation, prototyping, system integration, performance tuning, and product iteration.
  • •Conduct system-level hardware-software co-optimization targeting CPUs, GPUs, and NPUs to improve engineering efficiency.
  • •Align with model, hardware, and ecosystem stakeholders to scale cross-domain on-device AI solutions.

Key Requirements

  • •Master's or PhD degree (exceptional bachelor candidates also welcome), open to all majors.
  • •Proficient in Python or C/C++, with familiarity working in Windows or Linux development environments.
  • •Preferred: hands-on experience building LLM/VLM/AI Agent applications, including RAG and tool-use workflows.
  • •Familiarity with inference frameworks such as PyTorch, OpenVINO, and ONNX Runtime.
  • •Practical experience with model quantization, distillation, LoRA fine-tuning, and on-device deployment; plus GPU/NPU acceleration and media/video codec optimization is preferred.
Experience:AILLMComputer visionOpen-sourceOn-device deployment
Skills:CuriositySelf-motivationIndependent judgmentProblem-solvingCross-team communication
Tech Stack:PythonC/C++WindowsLinuxPyTorchOpenVINOONNX RuntimeRAGLoRACursorGitHub Copilot

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
WebsiteLinkedInGlassdoor