{"id":1139761,"url":"https://alion.io/job/nvidia-senior-applied-ai-engineer-3","title":"Senior Applied AI Engineer","company":{"id":6,"name":"NVIDIA","domain":"nvidia.com","url":"https://alion.io/company/nvidia","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"A","score":92,"open_postings":225,"ghost_share":0.013,"stale_share":0.244,"repost_share":0.044,"time_to_fill_p50_days":24,"computed_at":"2026-09-23T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Yokneam, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":138000,"max_usd":345000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1271},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-09-23T10:21:06Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-23T13:13:17Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"NVIDIA has transformed accelerated computing through innovation powered by exceptional technology and people. Within ASIC networking product engineering group, you will help bring AI into product engineering by turning fragmented engineering data into scalable, production-ready solutions for analysis, decision-making, and efficiency.\nIn this role, you will define and deliver AI solutions that unify data across NVIDIA infrastructure and engineering systems, enabling advanced analytics for production engineering teams through AI agents, copilots, and workflow automation. You will own solutions end to end, from architecture and development through deployment, maintenance, and continuous improvement, and help shape how ASIC networking product engineering uses AI to scale engineering productivity.\nWhat you'll be doing:\nDesign, build, and maintain AI solutions that improve our division efficiency across production, characterization, analysis, and operational workflows.\n\nDevelop agentic analytics capabilities that enable engineers to query, analyze, and reason over ASIC data using AI agents and copilots.\n\nConsolidate data from multiple infrastructure and engineering systems into scalable, reliable pipelines and reusable services.\n\nPartner with production engineering teams to identify pain points, define high-value use cases, and deliver measurable impact.\n\nBuild and support tools for data access, automation, reporting, anomaly detection, and engineering insight generation.\n\nCollaborate across NVIDIA to align interfaces, improve data quality, and support scalable deployment models.\n\nDrive continuous improvement through user feedback, monitoring, and roadmap planning.\n\nWhat we need to see:\nBachelor’s in Computer Science, Software Engineering, Data Science, or a related field, or equivalent experience.\n\n8+ years of experience as an AI solutions engineer, machine learning engineer, or software engineer building production AI/data solutions.\n\nStrong experience designing, developing, deploying, and maintaining end-to-end AI applications in production.\n\nHands-on expertise with Python and modern software engineering practices.\n\nPractical experience with LLMs, AI agents, RAG, workflow orchestration, and data/analytics applications.\n\nStrong background building data pipelines, APIs, services, and applications on top of structured and semi-structured engineering data.\n\nStrong communication skills and a proactive, ownership-driven mindset.\n\nAdvantage: experience in semiconductor, hardware, product engineering, test, characterization, or manufacturing analytics environments.\n\nWays to stand out from the crowd:\nExperience building AI solutions for engineering or manufacturing organizations.\n\nFamiliarity with agent frameworks, vector databases, telemetry platforms, or internal knowledge/data systems.\n\nBackground in cross-functional work spanning software, data, infrastructure, and product engineering.\n\nProven track record of introducing new technical capabilities and driving adoption across engineering teams.","description_format":"text","description_chars":3040,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Information Technology","Autonomous Driving","Computer Components"],"lifecycle":[{"event":"open","at":"2026-09-23T10:21:06Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":24,"reasons":["conf:2","win:early","comp:brand"],"computed_at":"2026-09-23T16:05:59Z"},"pay":null,"html_url":"https://alion.io/job/nvidia-senior-applied-ai-engineer-3","json_url":"https://alion.io/job/nvidia-senior-applied-ai-engineer-3.json","meta":{"generated_at":"2026-09-23T16:05:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}