FortifyIQ · 1 day ago
Data & AI Engineer (Remote)
FortifyIQ is seeking a Data & AI Engineer to develop intelligent data pipelines and analytics solutions that enhance decision-making across silicon design, verification, and manufacturing. The role involves transforming engineering data into actionable insights through automation, modeling, and visualization.
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Responsibilities
Build and maintain data pipelines to support machine learning and analytics workflows
Collect, clean, and transform large, complex datasets from engineering environments
Develop and train predictive models for yield, performance, and anomaly detection
Automate recurring data analysis tasks and integrate models into engineering processes
Collaborate with design and software teams to embed AI-driven insights into products
Create dashboards and visualization tools for reporting and decision-making
Document code, models, and processes for transparency and reproducibility
Qualification
Required
Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Strong skills in data manipulation (Pandas, NumPy, SQL)
Experience with workflow orchestration (Airflow, Spark, or similar)
3–5 years of experience in data engineering or applied AI
Bachelor's degree in Electrical Engineering, Computer Science, or related field
Preferred
Familiarity with semiconductor design, verification, or manufacturing datasets
Understanding of statistical modeling and predictive maintenance
Experience with cloud environments (AWS, Azure, GCP) and version control (Git)
Knowledge of MLOps principles (deployment, monitoring, CI/CD)
Company
FortifyIQ
FortifyIQ offers a pre-silicon hardware design evaluation and protection software suite advancing side-channel attack resistance.
Funding
Current Stage
Early StageRecent News
2025-05-07
2025-02-17
2024-11-30
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