{"id":646331,"url":"https://alion.io/job/lyte-senior-soc-architect","title":"Senior SoC Architect","company":{"id":30000,"name":"Lyte","domain":"lyte.ai","url":"https://alion.io/company/lyte","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"A","score":95,"open_postings":37,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":175,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Hardware","role_family":"Hardware","seniority":"staff","employment_type":"full_time","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":179000,"max_usd":326000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":527},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Physical AI","optional":false},{"name":"Computer Vision","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-01-19T04:50:09Z","employer_posted_date":"2026-01-19","last_verified_at":"2026-10-21T05:40:55Z","board_verified":true,"closed_at":null,"days_open":275,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":275},"description":"About Lyte\nLyte builds perception systems for Physical AI operating in complex environments. The company combines custom silicon, integrated sensors, and software into a unified platform for robotics, mobility, and next-generation automation. Lyte is headquartered in Sunnyvale, California, with a global presence. For more information, visit www.lyte.ai\nIf you’re excited about building impactful technology in a dynamic, hands-on environment, we’d love to hear from you!\n About the role\nWe are seeking a Senior System On Chip (SoC) architect to join our team and contribute to thedevelopment and delivery of state-of-the-art SoC projects. The successful candidate will have\nhands-on experience defining and developing complex SoC architectures for embedded products.\nYou will work closely with the systems, software and design teams to understand the SoC\nsystem requirements, performance and design an optimized solution for them. You will support\nthe design and verification teams from implementation phase through verification and later\nsystem validation phases.\n\nWhat you'll do\nStudy the system requirements for Lyte’s custom SoC and how it behaves in the system\nDefine, review and document the SoC requirements to meet the system requirements\nResearch available IP and technology that is available from vendors and partners andhow they fit\n\nDefine, document, and maintain the requirements for the project and any custom logicrequired in it\n\nParticipate in design reviews and approve the implementation\nParticipate in test plan reviews and define required coverage and performance\nDefine silicon bring up flows and test plan\nParticipate in silicon and system bring up and debug\nRequired Qualifications\nBachelor’s degree in Electrical Engineering, Computer Science, or a closely related field\nMinimum of 10 years of experience in silicon design, verification or similar roles\nMinimum of 5 years of experience in silicon architecture roles\nExperience with the definition and design of embedded SoC chips\nStrong analytical, debugging, and problem-solving capabilities\nExcellent written and verbal communication skills\nA collaborative team-oriented mindset with the ability to work effectively acrossmultidisciplinary engineering teams\n\nPreferred Qualifications\nMSc or PhD in Electrical Engineering, Computer Science, or a closely related field\nExperience with Arm embedded cores and SoC components\nExperience with SoC Network on Chip (Noc) and coherent fabric design\nExperience with embedded SoC products such as automotive systems, IoT, robotics, andsensor platforms\n\nExperience developing computer vision and machine learning systems\nBenefits (subject to location and local regulations)\nCompetitive salary and equity \nComprehensive medical, dental, and vision coverage \n401(k) retirement plan \nFlexible vacation and time-off policy \nCollaborative, fast-paced, and inclusive work environment 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