AI Infrastructure Engineer Intern - Petah-Tikva
Originally posted 8 September 2026 by the employer — open 2 days.
About the role
This AI Infrastructure Engineer Intern role involves building the data infrastructure that powers AI research, working with large-scale datasets at the intersection of machine learning and semiconductor chip design.
What you'll do
- Collect, clean, normalize, and sanitize large-scale chip design datasets from diverse sources and formats.
- Build and maintain scripts and pipelines to automate data extraction and transformation tasks.
- Parse and process various file formats including JSON, CSV, Parquet, logs, and domain-specific EDA formats.
- Navigate complex codebases and directory structures to locate, understand, and extract relevant data.
- Work with structured and semi-structured data using SQL and Python-based tooling.
- Collaborate with researchers and engineers to understand data requirements and deliver model-ready datasets.
- Document data sources, transformation logic, and dataset versions in shared repositories.
What you'll need
- Advanced BSc student in Computer Science, Software Engineering, Electrical Engineering, Data Science, or a related field.
- Good Python skills with hands-on experience using pandas and NumPy for real data manipulation.
- Solid SQL and comfort working with structured and semi-structured data (JSON, CSV, Parquet, logs).
- Practical experience cleaning, normalizing, and sanitizing messy, real-world data.
- Comfort navigating codebases and filesystems – understanding directory/file structures and parsing multiple file formats.
- Git fluency – reading commit history, diffs, and working with versioned repositories.
- Scripting ability to automate repetitive extraction and transformation tasks.
Nice to have
- Exposure to data pipeline tools or frameworks (e.g., Airflow, dbt, Spark).
- Basic familiarity with ML concepts – understanding what makes a good feature, and awareness of train/test leakage.
- Curiosity for reverse-engineering undocumented data and uncovering hidden relationships across files and datasets.
Skills: data infrastructure, AI research, semiconductor chip design, data preprocessing, Python
This role has been open 2 days — well below the 62-day median for Software Engineering Semiconductor roles.
Software Engineering Semiconductor · AI ML Hardware
|
Open roles in category
148
|
Median days open
62 d
|
Median salary
$203k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Marvell Technology | All employers we track in this specialty (148 roles · 39 employers) |
|---|---|---|
| Open roles in this specialty | 1 | 148 |
| Open roles in the wider Software, Firmware & Systems family | 56 | 5650 · 142 employers |
| Median days open | 2 d | 62 d (−60 d vs this employer) |
| Median salary (USD postings) | — | $203k |
Skills observed across this category: data infrastructure, AI research, semiconductor chip design, data preprocessing, Python
Who's hiring in this category
- NVIDIA · 26 open roles · median 178 d
- Qualcomm · 20 open roles · median 154 d
- Micron Technology · 17 open roles · median 15 d
- AMD · 11 open roles · median 48 d
- Infineon Technologies · 8 open roles · median 20 d
- Applied Materials · 5 open roles · median 90 d
How we counted: 148 open Software Engineering Semiconductor (AI ML Hardware) roles from 39 employers tracked in the SemiconductorJobs index, counted 10 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.