Mohamed Ismail

I am a multidisciplinary engineer with international experience across automotive, semiconductor manufacturing systems, machine vision, advanced electronics, and complex test and validation environments. My background spans hardware–software integration, embedded systems, system-level testing, research, and technical delivery in highly regulated and high-reliability industries.

I have worked in globally distributed engineering teams on projects involving automotive electric powertrain and ADAS systems, machine vision technologies, optical and semiconductor-related systems, and large-scale testing infrastructures. My expertise includes system integration, troubleshooting, test and validation execution, data analysis, and cross-functional technical coordination.

With exposure to multiple industries and technologies, I bring a strong system-level perspective, rapid learning capability, and structured problem-solving approach. I am particularly effective in roles that require broad technical understanding, ownership across interfaces, and collaboration across disciplines, cultures, and international teams.

3+ years – Automotive systems integration & testing (ADAS / CMS / ASPICE)

Customer-facing system integration & validation (ASPICE SYS.4 / SYS.5, ISO 26262)

Definition of test concepts, testability, specifications, and effort estimation from RFQ to SOP

HIL architecture & commissioning (Vector VT System)

Test automation with CANoe, CAPL, vTest Studio, Python (OpenCV)

Requirements traceability & coverage using IBM DOORS / DOORS NG

Defect and change management using Jira

2+ years – High-voltage electric powertrain testing (400V / 800V inverters & motors)

Functional, fault injection, and environmental testing of HV inverters and e-machines

Operation of dyno and EME test benches (PMSM, EESM, induction motors)

Test setup with CANoe, CANape, INCA, DEWETRON, Yokogawa power analyzers

Instrumentation with oscilloscopes, thermocouples, HV relay boxes, Trace32

Schematic tracing and PCB-level fault injection modifications

Test execution tracking and reporting (Polarion QA, TFS)

Machine vision & optical systems (industrial inspection)

Python-based image processing for defect detection and classification

Optical simulations (TracePro) for illumination and imaging optimization

Experimental design on optical test benches; dataset generation & validation

3+ years – Semiconductor & advanced optics research (Fraunhofer / ASML collaboration)

Computational lithography and EUV imaging simulations (Python)

Source-mask optimization (SMO), high-NA EUV, polarization & shadowing effects

Optical modeling, data pipelines, and quantitative analysis for semiconductor manufacturing systems

First-author scientific publication and industry collaboration

International & cross-functional engineering experience

Work in globally distributed teams across automotive, semiconductor, and industrial domains

Technical coordination across hardware, software, optics, testing, and quality teams

Ownership of complex technical issues from analysis through resolution and delivery

M.Sc. Advanced Optical Technologies (MAOT)

Friedrich–Alexander University Erlangen–Nürnberg (FAU), Erlangen, Germany

2014 – 2017

Thesis: Simulation Study for High-NA EUV Lithography in collaboration with ASML in Veldhoven, The Netherlands.

B.Sc. Electronics Engineering

German University in Cairo (GUC), Cairo, Egypt

2009 – 2014

Thesis: Design and Analysis of a High-Speed CMOS Transimpedance Amplifier for 10 Gb/s Fiber-Optic Receivers