Responsible for algorithm modeling, analysis, and implementation for ZEISS imaging products, including 2D/3D imaging, machine learning, and model deployment.
Responsibilities
Develop and optimize algorithms for image processing, machine learning, and model deployment
Solve core technical issues and optimize performance
Align cross-site technical efforts
Build and drive the tech stack development
Requirements
Master’s degree in math, computer science, software engineering or similar
The role leads in-cabin radar development technical activities such as validation planning, KPI methodology and reporting, regression and release sign-off, OEM test deliverables, root-cause analysis and vehicle tuning evaluation for customer programs.
Responsibilities
Master the interior radar system and all its technical aspects
Own the validation plan: radar system integration testing, KPI definitions, regression strategy and release sign-off
Run software performance and KPI validation tests on PC and embedded targets
Produce OEM test reports, validation evidence and other customer technical deliverables
Define, track and document test cases, corner cases and validation results
Requirements
Master or Bachelor of Engineering (electrical, mechatronics, embedded software, systems or similar)
