We’re seeking a Data & AI Engineer to develop intelligent data pipelines and analytics solutions that power smarter decisions across silicon design, verification, and manufacturing. You’ll transform engineering data into actionable insights through automation, modeling, and visualization.
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.
Qualifications
- 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 / Plus
- 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).
Top Skills
What We Do
FortifyIQ engineers certifiable cryptographic IP cores, software libraries, and roots of trust combining traditional algorithms (AES, RSA, ECC, HMAC-SHA2) with post-quantum cryptography (PQC). All hardware IP cores implement RTL-level algorithmic SCA/FIA countermeasures, while software libraries use the same algorithmic protections, delivering high-assurance security with minimal impact on performance, power, or area. Our solutions are foundry- and platform-agnostic, integrating securely across a wide range of devices, from smart cards and IoT nodes to AI accelerators and cloud systems. FortifyIQ validates all designs using proprietary pre- and post-silicon EDA tools, supported by formal proofs, extensive research, and a growing portfolio of patents. FortifyIQ cryptography provides secure boot and post-quantum readiness, with software OTA-updates and asymmetric hardware IP (ECC, RSA, PQC) FOTA-updates, supporting high-assurance embedded, industrial, and cloud systems. By combining rigorous physical attack resilience with near-native efficiency in both hardware and software, FortifyIQ delivers advanced cryptography that is certifiable, reliable, and built to meet the challenges of high-assurance, real-world applications.
