Platform FW and AI application Engineer- Intern
Job Description
Develops, builds, and integrates applications and platforms to support Intel's business needs.
Responsibility includes: -
Application development,
Validation data analysis,
Customer support,
Tool debug and deployment to improve operation efficiency and effectiveness
Qualifications
Bachelor's degree and above in Computer Science, Engineering, or a related field
Data analysis, AI/ML/DL, LLM+RAG, CI/CD, DevOps toolchain, automation, Linux
Familiar with Python/C/git/llama2/Hugging face is preferred
With aggressive problem-solving mindset and proactive communication attitude will be the plus.
Inside this Business Group
The Data Platforms Engineering and Architecture (DPEA) Group invents, designs & builds the world's most critical computing platforms which fuel Intel's most important business and solve the world's most fundamental problems. DPEA enables that data center which is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.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.Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.Working Model
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
Maggie Offensive Security Researcher
Ich wollte schon immer etwas tun, das die Welt verändert – bei Intel fühle ich mich geschätzt und ich habe mehr Selbstvertrauen gewonnen. Die Arbeit gibt mir das Gefühl, dass ich in der Lage bin, Großes zu leisten.
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