Role & seniority: Senior/Lead Analyst in Mobileye REM department (lead and hands-on role)

Stack/tools: data analysis, validation workflows, automation of processes, reporting and stakeholder communication (ML/image processing context implied)

Top 3 responsibilities

Lead and drive automation efforts; improve workflows and support daily development/testing with automated solutions
Manage automated and manual validation processes, ensuring data quality and thorough reviews
Plan, track, and coordinate validation projects; prepare clear reports and communicate progress to technical and management stakeholders

Must-have skills

Degree: BSc or MSc in Engineering, CS, Physics, Mathematics, Statistics, or related fields
3+ years in technical roles involving data analysis, validation, or cross-functional project coordination
Proven leadership experience (mentoring, coordinating cross-functional projects, training)
Strong workflow optimization, data-driven reporting, and ability to communicate with multidisciplinary teams

Nice-to-haves

Experience implementing automation in development/testing
Background in ML/image-processing validation or large-scale data validation
Ability to troubleshoot with algorithm developers and engineers

Location & work type

Location: not specified
Work type: not specified

Full Description

You will be part of Mobileye's REM department. Mobileye’s Road Experience Management (REM) is an end-to-end mapping and localization engine. It’s being used for full autonomy capabilities and services, generating validation processes and methodologies for such a technology giant is challenging, sufficient & enriching work: https://www.mobileye.com/our-technology/rem/.

Since we are dealing with a complex system based on machine learning and image processing, the analysis and validation processes require deep thinking as well as advanced technical and analytic abilities. Our analysts are responsible for running the analysis process and for providing deep analysis reports based on effective analysis of big data. \n

What will your job look like

Lead and hands-on drive the team’s transition toward extensive and effective use of automation, including implementing automated solutions, improving existing workflows, and actively supporting the team in adopting automation as part of daily development and testing activities
Manage and oversee both automated and manual validation processes, ensuring thorough data review and quality control.
Prepare clear, structured reports summarizing validation results, issues, and recommendations for technical and management stakeholders.
Plan, track, and coordinate validation projects, maintaining schedules, identifying risks, and communicating progress across departments.
Collaborate with algorithm developers, engineers, and other stakeholders to troubleshoot issues and propose improvements.
Participate in the planning and design of advanced validation processes.

All you need is

BSc/MS in Engineering, Computer Science, Physics, Mathematics, Statistics, or other relevant exact sciences degree.
3+ years of experience in technical roles involving data analysis, validation, or project coordination within complex technological environments.
Proven experience as a professional leader, with the ability to manage processes, provide professional guidance, and deliver effective training to employees.
This experience may include direct or indirect leadership, such as mentoring, coordinating cross-functional projects. Demonstrated skills in promoting a collaborative team environment.
Strong ability to establish and optimize workflows, ensuring efficiency and alignment with organizational goals.
Ability to produce clear, data-driven reports and communicate effectively with multidisciplinary teams

Senior Test Engineer & Technical Lead