{"id":34529,"url":"https://alion.io/job/altera-ai-engineer-technical-leader-agentic-ai-fpga-systems","title":"AI Engineer – Technical Leader (Agentic AI & FPGA Systems)","company":{"id":5328,"name":"Altera","domain":"altera.com","url":"https://alion.io/company/altera","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":12,"ghost_share":0,"stale_share":0.5,"repost_share":0.083,"time_to_fill_p50_days":56,"computed_at":"2026-10-28T05:59:10Z"}},"role":"AI/ML","role_family":"AI/ML","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":["Shanghai, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":56000,"max_usd":139000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1286},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false}],"status":"live","first_seen_at":"2026-07-28T00:00:00Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-28T12:21:48Z","board_verified":true,"closed_at":null,"days_open":92,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":92},"description":"Job Details:\nJob Description:\nRole Overview\nWe are seeking a highly experienced AI Technical Leader to drive the design and deployment of next-generation agentic AI systems optimized for FPGA/ASIC platforms.\nThis role sits at the convergence of:\nLarge Language Models (LLMs)\n\nAgentic AI & autonomous systems\n\nRetrieval-Augmented Generation (RAG)\n\nHardware-aware AI system design (FPGA / ASIC / EDA)\n\nYou will define system architecture, lead technical strategy, and deliver scalable AI solutions that tightly integrate software intelligence with hardware acceleration, with a strong focus on AI model optimization and deployment on FPGA.\nKey Responsibilities\nAI Architecture & System Design\nArchitect and implement end-to-end agentic AI systems (data → reasoning → action)\n\nDesign scalable multi-agent orchestration frameworks\n\nBuild enterprise-grade RAG pipelines for knowledge integration and retrieval\n\nDefine system-level architecture bridging cloud, edge, and hardware acceleration\n\nAgentic AI & LLM Development\nDevelop advanced agent workflows, including:\nTool-using agents\nPlanning and reasoning agents\nMulti-agent collaboration systems\n\nEvaluate and integrate state-of-the-art LLMs (open-source and proprietary)\n\nOptimize prompting, memory, and reasoning strategies for performance and reliability\n\nAI Model Optimization on FPGA (Core Focus)\nLead AI model optimization and deployment on FPGA platforms, including:\nQuantization (INT8 / BF16 / mixed precision)\nGraph compilation and operator fusion\nModel partitioning across CPU/GPU/FPGA\nMemory and bandwidth optimization\n\nDevelop workflows to map AI models (e.g., CV, LLM inference) from PyTorch/Hugging Face to FPGA\n\nEnable low-latency, high-efficiency inference pipelines on FPGA-based systems\n\nCollaborate with hardware teams to align model architecture with FPGA constraints (DSP, BRAM, interconnect)\n\nHardware-Aware AI Co-Design\nCo-design AI systems with:\nFPGA acceleration\nASIC platforms\nHeterogeneous compute architectures (CPU/GPU/FPGA)\n\nIntegrate AI workflows into EDA toolchains and hardware design flows\n\nDrive innovations in software-hardware co-optimization\n\nFramework & Platform Development\nBuild internal AI platforms leveraging:\nLangChain\nLlamaIndex\nCustom agent orchestration frameworks\n\nDevelop reusable components for:\nMemory management\nTool integration\nKnowledge retrieval and indexing\n\nEnable scalable deployment pipelines for AI applications on FPGA\n\nTechnical Leadership\nLead architecture design reviews and set technical direction\n\nMentor senior engineers and guide cross-functional teams\n\nDrive innovation at the intersection of AI systems and semiconductor platforms\n\nWhat Makes This Role Unique\nDefine agentic AI architecture for hardware-native AI systems\n\nWork at the frontier of:\nAI reasoning systems\n\nFPGA-based acceleration\n\nNext-generation computing platforms\n\nHigh-impact role shaping AI + semiconductor convergence\n\nImpact\nYou will enable a new class of intelligent systems where AI agents are tightly coupled with hardware, delivering:\nReal-time decision-making pipelines\n\nEfficient, scalable AI deployment on FPGA\n\nEnd-to-end automation from model to hardware execution\n\nSummary\nThis role is ideal for a senior technical leader who can:\nBridge LLM + Agentic AI + RAG with FPGA/ASIC system architecture\n\nDrive AI model optimization and deployment on FPGA\n\nLead innovation in next-generation AI + hardware integrated systems\n\nQualifications:\nRequired\nStrong experience in LLMs, agentic AI, or RAG systems\n\nProven track record in large-scale AI system architecture and deployment\n\nSolid programming skills in Python/C++ and modern AI frameworks\n\nExperience designing distributed or production AI systems\n\nStrong system-level thinking across software and infrastructure\n\nPreferred / Plus\nExperience with FPGA, ASIC, or hardware acceleration platforms\n\nFamiliarity with FPGA development flows and toolchains (e.g., synthesis, compilation, HLS, runtime)\n\nExperience with AI model optimization for hardware (quantization, compilation, deployment)\n\nExposure to EDA tools and semiconductor design workflows\n\nBackground in heterogeneous computing systems (CPU/GPU/FPGA)\n\nJob Type:\nRegularShift:\nShift 1 (China)Primary Location:\nShanghai, ChinaAdditional Locations:\nPosting Statement:\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.","description_format":"text","description_chars":4698,"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":[{"name":"China","iso":"CN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Processors, MCUs & AI Chips"],"lifecycle":[{"event":"open","at":"2026-07-28T00:00:00Z"}],"visa":[],"liveness":{"score":19,"band":"cold","label":"Long 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