2 дня назад
AI Infrastructure Engineer Intern (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Infrastructure Engineer Intern (AI) (Python/SQL): Building clean, structured, and model-ready datasets for AI research in semiconductor chip design with an accent on data preprocessing, file-format parsing, and automated extraction pipelines. Focus on transforming messy large-scale datasets, navigating complex codebases, and documenting dataset versions and transformation logic.
Location: Petah-Tikva, Israel; onsite
Company
develops semiconductor solutions for enterprise, cloud, AI, and carrier data infrastructure.
What you will do
- Collect, clean, normalize, and sanitize large-scale chip design datasets from diverse sources.
- Build and maintain scripts and pipelines for automated data extraction and transformation.
- Parse JSON, CSV, Parquet, logs, and domain-specific EDA file formats.
- Navigate codebases and directory structures to locate and extract relevant data.
- Use SQL and Python-based tools to prepare model-ready datasets in collaboration with researchers and engineers.
- Document data sources, transformation logic, and dataset versions in shared repositories.
Requirements
- Advanced BSc student in Computer Science, Software Engineering, Electrical Engineering, Data Science, or a related field.
- Hands-on Python experience with pandas and NumPy.
- Solid SQL skills and experience with structured and semi-structured data.
- Practical experience cleaning, normalizing, and sanitizing real-world data.
- Ability to navigate codebases and filesystems, parse multiple file formats, and automate repetitive tasks.
- Git fluency, including reading commit history, reviewing diffs, and working with versioned repositories.
Nice to have
- Exposure to Airflow, dbt, Spark, or other data pipeline tools.
- Basic familiarity with machine learning concepts, feature quality, and train/test leakage.
- Curiosity about reverse-engineering undocumented data and uncovering relationships across datasets.
Culture & Benefits
- Eligibility for bonus and equity plans, including a new-hire equity grant and annual equity refreshers.
- Collaborative, transparent, and inclusive work environment.
- Resources and support for professional growth and development.
- Employment may require eligibility to access technology covered by U.S. export control regulations.
Hiring process
- Interviews assess individual experience, problem-solving, and communication skills in real time.
- AI tools, transcription apps, automated answer generators, and note-taking bots are not permitted during interviews.
- Export license review may be required for applicants who are not U.S. citizens, lawful permanent residents, or protected individuals.
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