{"id":1296739,"url":"https://alion.io/job/ambarella-edge-computer-vision-accelerator-engineer","title":"Edge Computer Vision Accelerator Engineer","company":{"id":1908827,"name":"Ambarella","domain":"ambarella.com","url":"https://alion.io/company/ambarella","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":9,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hsinchu, Taiwan"],"countries":["TW"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":36000,"max_usd":108000,"period":"year","method":null,"sample_n":4502},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Edge AI","optional":false},{"name":"Cursor","optional":true},{"name":"Linux","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"RTOS","optional":true}],"status":"live","first_seen_at":"2026-09-02T00:00:00Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-09-27T10:14:08Z","board_verified":true,"closed_at":null,"days_open":26,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":26},"description":"AI Vision Processors For Edge Applications\nOur solutions make cameras smarter by extracting valuable data from high-resolution video streams.\nJob Description\nJoin us to build Classical CV and NNISP acceleration pipelines on CVflow, and improve system performance and efficiency.\nWe are looking for engineers passionate about embedded systems and computer vision - fresh graduates and experienced candidates are welcome.\n___________________________________________________________________________\nAbout the Team\nWe are the CV Accelerator team within the DSP department,focused on delivering high-performance edge-side computer vision processing on Ambarella’s proprietary CVflow™ architecture.\nOur work targets real-world applications requiring low latency, low power, and real-time performance at the edge.\n___________________________________________________________________________\nWhat You’ll Do\nPort and optimize classical (non-neural-network) computer vision algorithms onto CVflow (e.g., image processing, filtering, optical flow, radar/LiDAR point cloud processing)\nPerform NNISP model porting for neural network-based ISP pipelines\nDevelop efficient implementations on:\nNVP (Neural Vector Processor)\nGVP (General Vector Processor)\nOptimize compute performance and memory efficiency\nEnsure real-time performance on edge hardware platforms\nLeverage modern AI-assisted coding tools to improve productivity\nCollaborate with cross-functional teams (algorithm / system / hardware)\n___________________________________________________________________________\nWhy Join Us\nWork on edge AI / computer vision acceleration hardware (CVflow)\nGain experience in both classical CV and NNISP pipelines\nTackle real-world performance-critical systems\nGrow into an expert in edge computer vision and hardware-aware optimization\nBe part of a team using modern, high-productivity development workflows\nPreferred Qualifications\nFamiliarity with embedded systems (ARM-based)\nUnderstanding of multithreading (Linux or RTOS)\nExperience in debugging and performance optimization\nBackground in image processing or computer vision is a strong plus\nFamiliarity with Python or deep learning frameworks (e.g., PyTorch) is a plus, especially for NNISP-related development\n___________________________________________________________________________\nNice to Have\nExperience with edge AI or computer vision pipelines\nExposure to hardware accelerators, SIMD, or vector processing\nExperience with AI-assisted coding tools (e.g., Cursor or similar)\n___________________________________________________________________________\nExperience Level\nFresh graduates are welcome\nCandidates with relevant experience are preferred","description_format":"text","description_chars":2687,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotic Software & Control Systems","Angel Networks & Startup Accelerators","Hardware","Processors, MCUs & AI Chips"],"lifecycle":[{"event":"open","at":"2026-09-26T09:36:35Z"}],"liveness":{"score":33,"band":"fade","label":"Fading","p_open":1,"p_active":0.594,"p_room":0.55,"age_days":26,"expected_fill_days":21,"reasons":["conf:19","velocity","win:tail"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/ambarella-edge-computer-vision-accelerator-engineer","json_url":"https://alion.io/job/ambarella-edge-computer-vision-accelerator-engineer.json","meta":{"generated_at":"2026-09-28T23:57:56Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1351,"day_limit":5000,"remaining_today":3649,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}