{"id":2670318,"url":"https://alion.io/job/meta-manufacturing-operations-engineer-reality-labs","title":"Manufacturing Operations Engineer - Reality Labs","company":{"id":20,"name":"Meta","domain":"meta.com","url":"https://alion.io/company/meta","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":{"grade":"B","score":75,"open_postings":238,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Operations","role_family":"Operations","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Shanghai, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":35000,"max_usd":80000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2517},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Context Engineering","optional":false},{"name":"Python","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-15T17:54:54Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-21T07:21:24Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"As a Manufacturing Operations Engineer at Meta, you will play a key hands-on role in managing line operations, ensuring ramp readiness, and driving engineering sustained excellence at our contract manufacturing (CM) partner sites. In this role, you will bridge day-to-day mass production execution with technical process optimizations. You will take ownership of post-launch product manufacturing plans (PMPs), working closely with cross-functional teams to drive line balancing, process/layout optimization, yield bridge maturation, yield tracking automation, and labor efficiency improvements.Responsibilities\nSupport CM factory bring-up and ramp execution. Participate in line bring-up, capacity planning, layout review, and material flow verification to ensure timely product delivery (ExF) Track daily CM production metrics, including output, labor allocation, line efficiency, and MES reporting. Identify operational risks early and escalate appropriately to meet operational targets Support Engineering Change Orders (ECO/PRQ) executions, line conversions, and equipment cross-qualification at CM facilities to ensure smooth implementation without impacting supply Audit FATP and SMT line layouts post-launch, driving cycle time (CT) reduction, bottleneck elimination, and labor optimization Drive Overall Equipment Effectiveness (OEE) improvements, test cycle reduction, and retest rate minimization Maintain the functional yield bridge (FPY/LPY). Actively participate in Major Issue List (MIL) and technical issue forums (PIL/TIL), conducting deep-dive failure analysis and corrective actions (FACA) for process drift or yield drops Utilize data analysis tools (Python, JMP, Tableau) to build automated yield tracking dashboards, streamline daily reporting workflows, and speed up FACA root-cause identification\nQualifications\n3+ years of hands-on experience in high-volume electronics manufacturing, specializing in manufacturing operations, sustaining process engineering, or hardware operations Solid technical understanding of FATP and SMT assembly/test processes, including yield analysis, cycle time reduction, and OEE optimization Hands-on experience with data analytics or scripting tools (Python, JMP, Tableau, or modern AI tools) for yield tracking, data visualization, and root-cause analysis Strong execution mindset with a proven ability to prioritize tasks, troubleshoot technical issues independently, and operate effectively in a fast-paced environment Effective communication and interpersonal skills to collaborate and hold CM partners and internal cross-functional teams accountable Ability to travel frequently across APAC and other global locations as needed Solid understanding of lean manufacturing methodologies and Smart Factory/MES systems Direct experience with automated line bring-up, tester qualification, or process automation projects Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience with CM factory transfers, line conversions, or cross-regional qualifications Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy 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