{"id":2300658,"url":"https://alion.io/job/mobileye-experienced-software-developer-rem-validation","title":"Experienced Software Developer – REM Validation","company":{"id":174,"name":"Mobileye","domain":"mobileye.com","url":"https://alion.io/company/mobileye","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":75,"open_postings":57,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Jerusalem, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"SciPy","optional":false},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"Computer Vision","optional":true},{"name":"LLM","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-06T06:34:44Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-12T03:42:17Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"You'll join Mobileye's REM (Road Experience Management) department. REM is an end-to-end mapping and localization engine that supports full autonomy capabilities and services.\nBuilding validation processes and methods for a technology of this scale is challenging, meaningful and rewarding work. The system is complex and based on machine learning and image processing, so analysis and validation take deep thinking and strong technical and analytical skills. You'll develop validation infrastructure, tools and methods using cutting-edge technology and cloud-based applications. We use AI wherever it helps: to automate routine work, improve code quality and make our development process more efficient.\nWhat your job will look like:\nPlan and build advanced, end-to-end validation processes for REM mapping and localization.\nBuild validation tools that use geometric calculations, logic and heuristics.\nAdd new features to the validation pipeline and make it more sensitive, faster and better.\nUse AI tools to improve the development process, for example automated code review, unit-test generation and automating repetitive tasks.\nWork with algorithms and tools from other R&D groups and build them into the validation infrastructure.\nAnalyze large-scale data on the cloud and turn the results into clear conclusions.\nAll you need is:\nB.Sc. in Computer Science, Software Engineering or a related field.\n\n3+ years of hands-on software development, with Python in production (Pandas, NumPy, SciPy, etc.).\n\nGood coding practice: Git, testing, CI/CD.\n\nDaily, hands-on use of AI coding assistants and agents (e.g., GitHub Copilot, Claude Code, Cursor).\n\nA critical eye for AI output: reviewing, testing and checking AI-generated code and results.\n\nStrong analytical skills, with broad vision and technical depth.\n\nGood communication and teamwork across groups.\n\nFluent English.\n\nNice to have:\nExperience automating development and data workflows with LLM-based tools and agents.\n\nKnowledge of descriptive statistics, probability and statistical inference.\n\nGeometry or geospatial work (Shapely, GeoPandas, coordinate systems).\n\nCloud and distributed processing (AWS S3/Athena, SQL, Spark/PySpark).\n\nComputer vision, ML or 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