{"id":2632768,"url":"https://alion.io/job/renesas-electronics-senior-staff-application-technology-architect-edge-artificial-intelligence-machine-learning","title":"Senior Staff Application Technology Architect – Edge Artificial Intelligence & Machine Learning","company":{"id":3481,"name":"Renesas Electronics","domain":"renesas.com","url":"https://alion.io/company/renesas-electronics","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":102,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","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":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":167000,"max_usd":336000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":844},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Computer Vision","optional":false},{"name":"Edge AI","optional":false},{"name":"Explainable AI","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"ONNX","optional":false},{"name":"PyTorch","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Agile","optional":true}],"status":"live","first_seen_at":"2026-10-15T15:41:50Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-20T10:57:01Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":".\n About the Role\nWe are looking for an experienced and visionary Edge AI Architect to define, drive, and evolve artificial intelligence and machine learning technologies across a broad range of intelligent embedded and edge computing solutions.\nIn this role, you will serve as a technical authority for AI and machine learning, bridging advanced algorithms, sensor analytics, edge computing, and semiconductor technologies. You will collaborate with product groups, system architects, software teams, and strategic customers to develop innovative AI-enabled solutions that deliver differentiated value across multiple market segments.\nYour work will help shape the company's AI strategy, accelerate adoption of edge intelligence, and enable next-generation intelligent systems through advanced machine learning, signal processing, perception, and data analytics technologies.\nKey Responsibilities\nDefine and own AI/ML technology architectures spanning embedded systems, edge computing, cloud-connected systems, and intelligent sensor solutions.\n\nTranslate customer challenges, market opportunities, and technology trends into AI solution architectures and technology roadmaps.\n\nDrive development of reusable AI frameworks, software architectures, inference pipelines, model-deployment methodologies, and reference implementations.\n\nLead the evaluation, development, and adoption of machine learning, deep learning, foundation-model, and agentic-AI technologies.\n\nDefine architectures for:\n\nSensor intelligence\n\nSignal processing\n\nComputer vision\n\nAnomaly detection\n\nPredictive analytics\n\nSensor fusion\n\nAutonomous decision making\n\nMultimodal AI systems\n\nDrive hardware/software partitioning across MCUs, MPUs, AI accelerators, NPUs, DSPs, FPGAs, and cloud resources.\n\nDefine efficient deployment strategies for AI workloads on resource-constrained embedded platforms.\n\nEvaluate and optimize AI models for accuracy, latency, memory footprint, power consumption, and cost.\n\nCollaborate closely with product groups, software teams, system architects, and research partners to integrate AI capabilities into future solutions.\n\nSupport strategic customer engagements and act as a trusted advisor on AI architecture and deployment.\n\nMonitor advances in AI/ML research and identify opportunities for product differentiation and innovation.\n\nContribute to AI reference architectures, technical papers, application notes, patents, and ecosystem initiatives.\n\nProvide mentoring and technical leadership to engineering teams across the organization.\n\n Master's or Ph.D. degree in Computer Science, Applied Mathematics, Artificial Intelligence, Electrical Engineering, Physics, Data Science, or a related field.\n\n10+ years of experience in AI/ML, advanced analytics, signal processing, computer vision, or intelligent embedded systems.\n\nProven track record as an AI Architect, Principal AI Engineer, Chief Architect, AI Research Lead, or equivalent technical leadership role.\n\nProven Expertise In: Machine Learning, Deep Learning, Statistical Modeling, Signal Processing, Computer Vision, Sensor Analytics, Data Fusion, Pattern Recognition, Predictive Analytics, Time-Series Analysis, Explainable AI, Edge AI\nStrong Experience With: PyTorch, TensorFlow, ONNX, ML model optimization, Data pipelines, AI deployment frameworks\nStrong Understanding Of: Embedded systems, Edge computing platforms, Heterogeneous compute architectures, MCUs, MPUs, NPUs, DSPs, and AI accelerators, Performance, power, and memory optimization\n Nice to Have\nPhD in Applied Mathematics, Machine Learning, Signal Processing, Computer Vision, or related discipline\n\nExperience developing patented AI technologies or algorithms\n\nPublications in AI, machine learning, signal processing, or computer vision\n\nExperience with foundation models, multimodal AI, and agentic AI systems\n\nExperience with sensor analytics and anomaly detection\n\nExperience in embedded AI deployment\n\nFamiliarity with semiconductor architectures and AI acceleration technologies\n\nIndustry experience spanning multiple domains such as industrial automation, automotive, healthcare, robotics, aerospace, IoT, or consumer electronics\n\nRenesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier. With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world-leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.\nAt Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.\nWe believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.\nAre you ready to join our team and shape the future with us?\nRenesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.\nRenesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.","description_format":"text","description_chars":5852,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Automotive Components","Analog & Power Semiconductors"],"lifecycle":[{"event":"open","at":"2026-10-15T16:36:51Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 60 · green card filings: 30","filings_12m":60,"filings_prev_12m":78,"green_card_filings_12m":30,"median_offered_wage_usd":144222,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":6}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":31,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-20T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/renesas-electronics-senior-staff-application-technology-architect-edge-artificial-intelligence-machine-learning","json_url":"https://alion.io/job/renesas-electronics-senior-staff-application-technology-architect-edge-artificial-intelligence-machine-learning.json","meta":{"generated_at":"2026-10-20T11:37:15Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":12824,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3481},"rest":"https://alion.io/mcp/rest/get_company?id=3481"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frenesas-electronics-senior-staff-application-technology-architect-edge-artificial-intelligence-machine-learning"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Frenesas-electronics-senior-staff-application-technology-architect-edge-artificial-intelligence-machine-learning"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Frenesas-electronics-senior-staff-application-technology-architect-edge-artificial-intelligence-machine-learning"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/renesas-electronics-senior-staff-application-technology-architect-edge-artificial-intelligence-machine-learning\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frenesas-electronics-senior-staff-application-technology-architect-edge-artificial-intelligence-machine-learning"}]}