{"id":3018709,"url":"https://alion.io/job/renesas-electronics-principal-ai-software-architecture-engineer-fmd","title":"Principal AI Software Architecture Engineer (f/m/d)","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":105,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Düsseldorf, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":84000,"max_usd":168000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache TVM","optional":false},{"name":"C++","optional":false},{"name":"IREE","optional":false},{"name":"LiteRT","optional":false},{"name":"LLVM","optional":false},{"name":"MLIR","optional":false},{"name":"ONNX","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"TFLite","optional":false},{"name":"XLA","optional":false},{"name":"Accelerate","optional":true},{"name":"Agile","optional":true}],"status":"live","first_seen_at":"2026-10-21T13:11:30Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-27T11:15:28Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Renesas is seeking a Principal AI Software Architecture Engineer to lead the technical direction of next-generation AI software platforms and deployment technologies across embedded and edge computing products. The successful candidate will operate across software architecture, AI model deployment, compiler ecosystems, runtime integration, heterogeneous computing and hardware/software co-design.\nMission\nEnable efficient and scalable deployment of AI workloads across diverse hardware platforms while creating a sustainable software foundation for future generations of AI tools, model translation workflows, runtime systems, development environments and customer-facing deployment solutions.\nKey Responsibilities\nDefine and drive long-term AI software architecture strategy across model translation, compiler, runtime and deployment layers.\n\nLead architecture decisions for heterogeneous AI deployment across CPUs, MCUs, MPUs, NPUs, DSPs, GPUs and future accelerator technologies.\n\nGuide evolution of compiler and runtime technologies, including integration with LLVM/MLIR or equivalent compiler ecosystems where appropriate.\n\nCollaborate with hardware, software, product, application engineering and customer-facing teams to translate platform needs into executable technical roadmaps.\n\nDrive hardware/software co-design discussions to influence future AI acceleration and software platform capabilities.\n\nMentor senior engineers and technical leads, helping shape architecture thinking across globally distributed teams.\n\nRepresent the technical direction in architecture reviews, roadmap discussions, customer workshops, partner discussions and executive-level technical reviews.\n\nTravel Requirement\nUp to 30% international travel may be required. Travel is expected to support global engineering collaboration, architecture reviews, customer workshops, technical roadmap discussions, partner engagement, conferences and executive technical reviews.\n Education Requirements\nMaster's degree or PhD in Computer Science, Computer Engineering, Electrical Engineering or a related technical field.\n\nEquivalent depth of technical achievement may be considered where supported by substantial industry experience and recognized architecture leadership.\n\nExperience Requirements\n15+ years of professional software engineering experience preferred for the target profile.\n\n10+ years minimum experience in complex software systems, AI infrastructure, compiler technologies, embedded software, deployment platforms or related domains.\n\n5+ years of demonstrated technical leadership, architecture ownership or cross-team technical influence.\n\nExperience leading architecture decisions that affected multiple teams, product generations, platforms or customer-facing software ecosystems.\n\nExperience working in globally distributed engineering environments.\n\nLanguage Requirements\nFluent English, spoken and written, is required.\n\nAdditional language capabilities, such as Japanese, German, French or other business-relevant languages, are beneficial but not mandatory.\n\nRequired Technical Expertise\nLarge-scale software architecture and platform evolution.\n\nAI model deployment workflows and AI software toolchains.\n\nCompiler ecosystems such as LLVM, MLIR, IREE, XLA, TVM, OpenXLA or comparable technologies.\n\nProgramming expertise in C++ and Python.\n\nAI frameworks and model formats such as PyTorch, TensorFlow, ONNX and TFLite.\n\nRuntime integration, performance engineering, profiling, memory optimization and latency/throughput analysis.\n\nEmbedded and edge computing environments, including constraints around memory, power, performance and deployment workflow.\n\nHeterogeneous hardware architectures including CPU, MCU, MPU, NPU, DSP, GPU and accelerator-based systems.\n\nPreferred Qualifications\nExperience defining multi-year technical roadmaps.\n\nExperience with customer-facing technical leadership, strategic workshops or partner ecosystem discussions.\n\nExperience mentoring senior engineers, technical leads or future architects.\n\nContributions to compiler, AI deployment, runtime, embedded software or open-source ecosystems.\n\nPatents, publications or recognized technical contributions are advantageous but not required if strong architecture ownership is demonstrated.\n\nCandidate Profile\nThe ideal candidate is a proven software architecture leader with deep understanding of AI deployment and strong compiler knowledge. The role is best suited to a systems thinker who can connect software platforms, model translation workflows, compiler ecosystems, runtime behavior, hardware constraints, customer needs and long-term product strategy.\nSuccess Metrics\nAccelerate AI deployment across embedded and edge hardware platforms.\n\nImprove maintainability and adaptability of AI software platforms and deployment technologies.\n\nEstablish clear architecture direction across toolchains, runtimes, model translation and heterogeneous execution.\n\nImprove collaboration between hardware, software, product and customer-facing organizations.\n\nProvide credible long-term technical leadership for future AI software platform evolution.\n\n Renesas 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.","description_format":"text","description_chars":6449,"description_truncated":false,"requirements":{"experience_years_min":15,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"Japanese","level":"All levels","optional":false},{"language":"French","level":"All levels","optional":false},{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Processors, MCUs & AI Chips","Automotive Components","Analog & Power Semiconductors"],"lifecycle":[{"event":"open","at":"2026-10-21T17:14:36Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.627,"p_room":1,"age_days":5,"expected_fill_days":30,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/renesas-electronics-principal-ai-software-architecture-engineer-fmd","json_url":"https://alion.io/job/renesas-electronics-principal-ai-software-architecture-engineer-fmd.json","meta":{"generated_at":"2026-10-27T14:50:19Z","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":3614,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"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-principal-ai-software-architecture-engineer-fmd"},{"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-principal-ai-software-architecture-engineer-fmd"},{"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-principal-ai-software-architecture-engineer-fmd"},{"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-principal-ai-software-architecture-engineer-fmd\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frenesas-electronics-principal-ai-software-architecture-engineer-fmd"}]}