System and Analog Data Science - Haifa, Israel
Originally posted 8 September 2026 by the employer — open 2 days.
About the role
This role involves applying advanced data analytics and machine learning techniques to optimize the design, verification, and performance of complex system-on-chip (SoC) and analog circuits.
What you'll do
- Develop and implement data collection, cleaning, and transformation pipelines for design and test data sources.
- Apply statistical analysis, machine learning, and deep learning algorithms to identify patterns, anomalies, and correlations.
- Create predictive models for circuit performance, reliability, and yield.
- Design and execute experiments to validate models and evaluate data-driven insights.
- Collaborate with engineering teams to integrate data science solutions into existing workflows.
- Communicate complex analytical findings through visualizations and reports.
What you'll need
- Bachelor's, Master's or Ph.D. in Electrical Engineering, Computer Science, Data Science, Statistics, or a related quantitative field.
- 3+ years of experience applying data science and machine learning techniques to engineering problems.
- Proficiency in Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and R.
- Experience with statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, time series analysis), and deep learning architectures.
- Understanding of semiconductor design flows, analog circuit fundamentals, and system-level architectures.
Nice to have
- Familiarity with data warehousing, SQL, and big data technologies (e.g., Spark, Hadoop).
Skills: data analytics, machine learning, SoC, analog circuits, predictive models, Python
This role has been open 2 days — well below the 63-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
508
|
Median days open
63 d
|
Median salary
$224k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Altera | All employers we track in this specialty (508 roles · 79 employers) |
|---|---|---|
| Open roles in this specialty | 4 | 508 |
| Open roles in the wider Software, Firmware & Systems family | 24 | 5650 · 142 employers |
| Median days open | 44 d | 63 d (−19 d vs this employer) |
| Median salary (USD postings) | — | $224k |
Skills observed across this category: data analytics, machine learning, SoC, analog circuits, predictive models, Python
Who's hiring in this category
- Qualcomm · 107 open roles · median 98 d
- NVIDIA · 88 open roles · median 60 d
- AMD · 44 open roles · median 63 d
- Micron Technology · 27 open roles · median 47 d
- Mobileye · 21 open roles · median 44 d
- NXP Semiconductors · 11 open roles · median 64 d
How we counted: 508 open AI/ML Hardware Engineering (AI ML Hardware) roles from 79 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.