{"id":3032314,"url":"https://alion.io/job/nokia-staff-dry-etch-process-engineer","title":"Staff Dry Etch Process Engineer","company":{"id":17345,"name":"Nokia","domain":"nokia.com","url":"https://alion.io/company/nokia","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":97,"open_postings":64,"ghost_share":0.016,"stale_share":0.25,"repost_share":0.063,"time_to_fill_p50_days":7,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Semiconductors","role_family":"Semiconductors","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":147000,"max_usd":288000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":27},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Photolithography","optional":false},{"name":"Plasma Etch","optional":false},{"name":"Statistical Process Control","optional":false}],"status":"live","first_seen_at":"2026-10-21T15:31:05Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-25T21:14:50Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"At Nokia Optical Networks, advanced photonic technologies become scalable products powering the world's communication infrastructure. Our team develops and manufactures cutting-edge Indium Phosphide (InP) photonic integrated circuits (PICs), enabling coherent optics, high-speed transceivers, tunable lasers, optical amplifiers, and next-generation networking solutions. We work closely with device design, integration, manufacturing, equipment suppliers, and product teams to bring innovative concepts from research into high-volume production.\nAs a Staff Dry Etch Process Engineer, you will develop, integrate, and optimize plasma etch processes used in the fabrication of advanced photonic devices. You will work hands-on with dry etch equipment, chamber hardware, consumables, masks, and metrology systems to improve critical dimensions, profile control, sidewall roughness, etch selectivity, yield, and manufacturability. You will collaborate across photolithography, thin films, wet etch, device engineering, integration, reliability, and manufacturing teams to support both technology development and production operations.\nThis position provides opportunities to collaborate with Nokia R&D and manufacturing organizations globally, as well as equipment and material suppliers, to develop robust process solutions aligned with Nokia's optical networking technology roadmap. The role also supports adoption of advanced analytics, automation, and AI-enabled solutions to accelerate process development and operational excellence.\n Develop, qualify, and sustain dry etch processes for InP photonic integrated circuits and related optical devices.\nOptimize critical process metrics including etch rate, CD control, sidewall profile, selectivity, surface morphology, roughness, uniformity, and device performance.\nSupport fabrication of optical structures such as waveguides, SOAs, lasers, modulators,and passive optical components.\nDrive defect reduction, yield improvement, and process capability enhancement using DOE, SPC, statistical analysis, and advanced process control methodologies.\nPerform root-cause analysis and corrective actions for process excursions, equipment issues, yield losses, and device performance gaps.\nAnalyze processes from a first-principles, physics-based approach to understand and manipulate mechanisms, not just recipes \nCollaborate with lithography, wet etch, thin film, metallization, reliability, and device engineering teams to develop integrated process flows.\nPartner with equipment and materials suppliers on chamber matching, hardware upgrades, process optimization, and cost-of-ownership improvements.\nDocument process baselines, engineering evaluations, change controls, and best practices; communicate results to cross-functional teams and management.\nSupport technology transfer from development into manufacturing while maintaining process stability and product quality.\nSupport a 24x7 manufacturing operation through participation in on-call support, issue escalation, and cross-functional problem-solving when required.\nDemonstrates flexibility in work schedule and is willing to work swing shifts based on business requirements. \nLeverage AI, machine learning, and advanced data analytics tools to improve process efficiency, yield, and engineering productivity.\n M.S. or Ph.D. in Electrical Engineering, Materials Science, Physics, Chemistry, Chemical Engineering, Mechanical Engineering, or a related technical field.\nB.S. degree with 5+ years of semiconductor, photonics, or optoelectronic process engineering experience will also be considered.\nExperience in semiconductor or photonic process development, integration, or sustaining engineering.\nStrong understanding of plasma etch fundamentals, chamber hardware, process characterization, and defect reduction methodologies.\nExperience with DOE planning, statistical analysis, SPC, and process capability improvement.\nAbility to work effectively across multidisciplinary engineering and manufacturing organizations.\nStrong ownership mindset with a demonstrated ability to independently drive projects, solve problems, and deliver results. \nAbility to prioritize and respond quickly to manufacturing challenges in a dynamic environment. \nPreferred Qualifications\nHands-on experience with ICP, RIE, or other advanced dry etch systems used in compound semiconductor or photonic device manufacturing.\nExperience processing InP, GaAs, SiN, silicon photonics, or other III-V semiconductor technologies.\nUnderstanding of photonic device fabrication challenges, including waveguide profile control, etch depth uniformity, optical loss reduction, and dimensional variation control.\nExperience with optical metrology, SEM analysis, cross-section characterization, and defect inspection techniques.\nKnowledge of photonic integrated circuit fabrication, including lasers, modulators, optical amplifiers, and passive optical components.\nExperience supporting technology transfer, yield improvement, and high-volume manufacturing environments.\nExperience collaborating with equipment suppliers and external technology partners on process development 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