{"id":2096005,"url":"https://alion.io/job/analog-devices-embedded-ai-tools-engineer","title":"Embedded AI Tools Engineer","company":{"id":58431,"name":"Analog Devices","domain":"analog.com","url":"https://alion.io/company/analog-devices","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":53,"ghost_share":0,"stale_share":0.887,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-10-10T05:45:15Z"}},"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":["Wilmington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":121600,"max":167200,"currency":"USD","period":"year","gross":null,"usd_annual":167200},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Quantization","optional":false},{"name":"Apache TVM","optional":true},{"name":"C++","optional":true},{"name":"CI/CD","optional":true},{"name":"CMake","optional":true},{"name":"CNN","optional":true},{"name":"Edge AI","optional":true},{"name":"Knowledge Distillation","optional":true},{"name":"Linux","optional":true},{"name":"LiteRT","optional":true},{"name":"MLIR","optional":true},{"name":"Model Distillation","optional":true},{"name":"ONNX","optional":true},{"name":"ONNX Runtime","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"PyTorch C++","optional":true},{"name":"RTOS","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-10-08T16:49:40Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-11T20:21:10Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About Analog Devices\nAnalog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.com and on LinkedIn and X.\nEmbedded AI Tools Engineer\nWilmington MA\nAnalog Devices is uniquely positioned for success at the boundary of the physical and digital worlds. Analog Devices transforms physical phenomena - sound, light, radio waves, voltages, currents, and motion - into high fidelity data. Our mission is to build the Intelligent Edge where AI transforms the way we solve challenging problems by combining deep application knowledge, close customer relationships, extraordinary data, advanced circuits, and breakthrough algorithms.\nAnalog Devices has established the Embedded AI Tooling Team to provide development of next-generation embedded AI deployment infrastructure and model optimization tools for cutting-edge SoCs. Join our technically diverse team of AI infrastructure experts to unlock unprecedented AI performance in every domain.\nBuild Embedded AI Deployment Infrastructure for Intelligent Edge SoCs.\nYou will be a member of a core Advanced AI tooling team and will be instrumental in designing and implementing cutting-edge technology that will transform the semiconductor industry and enable embedded system engineers and research scientists to deliver AI-based solutions using ADI hardware.\nDuring the first year, you will be part of a team responsible for achieving the following milestones:\nWork with team members to design, test, implement, and release novel AI model deployment tools and infrastructure for heterogeneous computer architectures such as DSPs, NPUs, and CPUs as part of a larger SoC.\nBuild end-to-end workflows spanning model development, optimization, hardware-specific architecture, and deployment to ADI's embedded platforms-enabling developers to seamlessly move from model conception to production on resource-constrained devices.\nDevelop tools and infrastructure for hardware-aware model design, including architecture mapping techniques that adapt neural network structures to leverage specific hardware capabilities (DSP operations, NPU features, mixed-precision computation).\nDesign and implement model compilation and optimization pipelines that enable seamless quantization, pruning, layer fusion, and hardware-specific code generation for ADI's embedded hardware platforms.\nExplore and prototype agentic AI workflows that leverage autonomous agents for automated model-hardware co-optimization, intelligent architecture search, and adaptive deployment strategies.\nDesired Skills and Experience:\nStrong embedded systems and computer architecture experience (bare-metal, RTOS, or embedded Linux).\nExpertise in end-to-end AI/ML model development, from training through optimization and deployment on embedded platforms.\nExperience with hardware-aware neural architecture design and model optimization techniques tailored to specific processor architectures.\nProficiency in C, C++, Python, with experience in firmware and low-level software development.\nDeep understanding of neural network quantization, pruning, knowledge distillation, and optimization techniques for resource-constrained devices.\nKnowledge of neural network accelerators (NPUs, DSPs) and efficient execution of neural networks on heterogeneous hardware.\nFamiliarity with AI/ML frameworks (TensorFlow, PyTorch) and deployment tools (TensorFlow Lite, ONNX Runtime, TVM, etc.).\nExperience with build systems (CMake, Make, Ninja), CI/CD pipelines, and infrastructure automation.\nBackground in ML algorithms (CNN, DNN, Transformer architectures) and their embedded implementation.\nFamiliarity with developer tooling (debuggers, profilers, SDKs, system configuration tools).\nBonus Points for:\nExperience with hardware-software co-design and custom operator development for specialized hardware.\nKnowledge of neural architecture search (NAS) and automated model optimization techniques.\nBackground in digital signal processing (DSP) and algorithm implementation experience.\nExperience with edge AI frameworks and deployment tools (TensorFlow Lite Micro, ONNX, Apache TVM, MLIR).\nUnderstanding of compiler optimizations and code generation for embedded AI accelerators.\nExperience with FPGA development including design, synthesis, simulation, and verification.\nExperience with Zephyr RTOS and open-source RTOS ecosystems.\nExperience contributing to and working with open-source ecosystems.\nUnderstanding of heterogeneous architectures (ARM, RISC-V, DSPs, custom SoCs).\nWhy Join Us?\nLead high-impact projects shaping the future of embedded AI deployment and hardware-aware model development.\nWork on cutting-edge embedded hardware with world-class teams.\nBe part of an innovation-driven environment, defining the next generation of AI deployment infrastructure for intelligent edge devices.\nFor positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.\nAnalog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.\nEEO is the Law: Notice of Applicant Rights Under the Law.\nJob Req Type: ExperiencedRequired Travel: Yes, 10% of the timeShift Type: 1st Shift/DaysThe expected wage range for a new hire into this position is $121,600 to $167,200.Actual wage offered may vary depending on work location, experience, education, training, external market data, internal payequity, or other bona fide factors.\n\nThis position qualifies for a discretionary performance-based bonus which is based on personal and company factors.\n\nThis position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.","description_format":"text","description_chars":6860,"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":["401k plan"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Sensors & Transducers","Analog & Power Semiconductors"],"lifecycle":[{"event":"open","at":"2026-10-08T16:49:40Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":1,"expected_fill_days":48,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":{"stated_usd_annual":167200,"is_top_pay":false},"html_url":"https://alion.io/job/analog-devices-embedded-ai-tools-engineer","json_url":"https://alion.io/job/analog-devices-embedded-ai-tools-engineer.json","meta":{"generated_at":"2026-10-11T22:58:44Z","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":13311,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-12T00:00:00Z"}},"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":58431},"rest":"https://alion.io/mcp/rest/get_company?id=58431"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fanalog-devices-embedded-ai-tools-engineer"},{"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%2Fanalog-devices-embedded-ai-tools-engineer"},{"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%2Fanalog-devices-embedded-ai-tools-engineer"},{"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/analog-devices-embedded-ai-tools-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fanalog-devices-embedded-ai-tools-engineer"}]}