מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר
Bachelor degree with 12+ years or Master degree with 10+ years in any of the following field: Computer Science or Data Science and Engineering, Electronics or Electrical Engineering, Applied mathematics, or related technical disciplines.Skills:
Expertise in computer architecture and x86 architecture, working experience in platform, post-silicon and PnP validation. Sound knowledge and experience in various domains such as CPU, AI, Graphics, Gaming and Camera.
Machine Learning Expertise:
In-depth knowledge of machine learning techniques, including regression, classification, LDA, Naive Bayes, Logistic Regression, and SVM.
Deep Learning and Generative AI:
Solid understanding of ML/DL techniques, algorithms, and tools. Experience with CNN, RNN (LSTM), and Transformers (BERT, BART, GPT/T5, Megatron, LLMs). Knowledge of various prompt techniques, including zero-shot, few-shot,Experience with database and tools such as SQL, MongoDB, Graph DB, and Elastic Search in native AI applications.Proven experience in deploying and maintaining high-scale AI-based systems.Understanding of scalable deployment of multiple microservices involving LLM-driven RAG and Agent applications in a production environment.Familiarity with Docker, Helm, Kubernetes, etc.Experience with the end-to-end software lifecycle, release packaging, and CI/CD pipeline.Good understanding of Computer Architecture and x86 architecture. Experienced in Platform Software Development and Validation.Excellent written and oral communication skills.Be able to clearly communicate technical details and concept.
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