AI Software Development Engineer

intel; Prescott (AZ); On-site; USD 18,000 - 24,000; Full time

Job summary

Intel Corporation in Shanghai seeks an AI Software Development Engineer for on-device AI, prototyping inference pipelines, and hardware-software co-optimization. You will work with model teams to deploy LLMs, VLMs, and AI agents on end-user devices, integrating software with hardware to enable scalable AI across devices.

The role targets recent graduates with strong Python or C/C++ skills, familiar with Windows or Linux, and experience from internships or coursework. On-site work is required.

Qualifications

• Bachelor's or Master's degree in a relevant field with hands-on AI software development exposure.
• Proficiency in Python or C/C++ and familiarity with Windows or Linux development environments.
• Knowledge of AI development tools gained via internships, coursework, or projects.

Responsibilities

• Collaborate with model teams to deploy LLMs, VLMs, AI agents and related models on end-user devices.
• Prototype inference pipelines, media codecs, and automation tools using Python or C/C++.
• Engage in hardware-software co-optimization for CPU/GPU/NPUs to boost performance.
• Participate in system integration and iterative product development cycles.
• Coordinate with model, hardware, and ecosystem stakeholders to scale on-device AI.

Skills

Python

C/C++

Windows/Linux

AI basics

Education

Bachelor's degree in a relevant field

Master's degree in a relevant field, with no prior professional experience

Tools

PyTorch

ONNX Runtime

Job description

Job Details:

Job Description:

The Role and Impact As an AI Software Development Engineer, you will play a pivotal role in advancing on-device AI capabilities by developing and optimizing software solutions that integrate cutting-edge AI models and hardware. Your day-to-day work will include prototyping innovative AI applications, crafting inference pipelines, and enabling hardware-software collaboration to deliver impactful, scalable solutions. This position is critical in shaping AI innovations that enhance user experiences across millions of devices.

Business group Intel Corporation's Client Computing Group AI and Graphics domain focuses on driving intelligent computing solutions from the cloud to end devices. By collaborating with global research and development teams and industry-leading model developers, the group tackles critical challenges in model deployment, hardware-software optimization, and multimodal AI innovation. This team's work supports Intel's mission to deliver exceptional computing experiences and pushes boundaries in AI for end devices.

Key Responsibilities

• Collaborate with leading model teams to deploy large language models (LLMs), vision-language models (VLMs), AI agents, and image/video generation models on end-user devices.
• Rapidly prototype and develop inference pipelines, media codecs, and automation tools using Python or C/C++.
• Participate in system-level hardware-software co-optimization for CPUs, GPUs, and NPUs to improve performance and engineering efficiency.
• Engage in technical evaluations, prototyping, system integration, and iterative product development cycles.
• Build cross-domain solutions by aligning with model, hardware, and ecosystem stakeholders to scale on-device AI capabilities.

We welcome innovative thinkers eager to translate AI advancements into impactful solutions that reach millions of users. If you thrive in a collaborative and engineering-driven culture, this role offers unparalleled opportunities to grow and make a difference.

Qualifications

Minimum Qualifications

• Bachelor's degree in a relevant field with 0-1 years of hands-on experience in AI software development, with demonstrated skills gained through internships, academic projects, coursework, or hands-on training OR a Master's degree in a relevant field with no prior professional experience.
• Proficiency in Python or C/C++ and familiarity with Windows or Linux development environments.
• Basic understanding of AI development tools and practices, including personal projects, coursework, or contributions to open-source platforms.

Preferred Qualifications

• Experience in developing LLMs, VLMs, AI agents, retrieval-augmented generation (RAG), or tool-use workflows.
• Knowledge of inference frameworks like PyTorch, OpenVINO, and ONNX Runtime.
• Practical experience in model quantization, distillation, fine-tuning (e.g., LoRA), and deployment on end devices.
• Familiarity with GPU/NPU acceleration, media processing, video codecs, and system performance optimization techniques.
• Comfortable working with AI development workflows using tools like Cursor and GitHub Copilot.

Job Type:

College Grad

Shift:

Shift 1 (China)

Primary Location:

PRC, Shanghai

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will require an on-site presence. * 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.