{"schemaVersion":"jobsearcher.job.v1","id":"f15d0d065ad6b9b786373068","url":"https://jobsearcher.com/jobs/f15d0d065ad6b9b786373068","canonicalUrl":"https://jobsearcher.com/jobs/f15d0d065ad6b9b786373068","title":"Embedded AI/ML Developer","description":"Embedded AI/ML Developer\n\nDescription -\n\nThe Embedded AI/ML Developer will design, develop, and optimize AI-enabled embedded software solutions for HP’s commercial PC and connected device portfolio. This role focuses on deploying efficient machine learning models at the edge, integrating AI capabilities with firmware and system software, and enabling intelligent user experiences across resource-constrained platforms.\n\nThe engineer will work closely with hardware, firmware, software, and data science teams to translate AI/ML concepts into production-ready embedded implementations. Responsibilities include model optimization, inference runtime integration, performance tuning, debugging, documentation, and staying current with emerging edge AI technologies, tools, and industry best practices.\n\nResponsibilities\n\nDesigns, develops, and optimizes embedded AI/ML software for edge devices, including PCs, docking solutions, displays, peripherals, and other intelligent client platforms.\nConverts AI/ML algorithms and proof-of-concept models into efficient, production-quality embedded implementations optimized for latency, memory, power, and compute constraints.\nIntegrates machine learning inference engines, model runtimes, and AI accelerators into embedded firmware and system software environments.\nCollaborates with cross-functional teams to define AI feature requirements, system architecture, data flow, model deployment strategy, and validation plans.\nProfiles and tunes embedded AI workloads to improve inference performance, reduce memory footprint, improve responsiveness, and optimize power consumption.\nDevelops and maintains software interfaces between AI/ML components, firmware, device drivers, sensors, embedded controllers, and host applications.\nSupports model compression, quantization, pruning, benchmarking, and deployment using embedded AI frameworks and hardware acceleration technologies.\nTroubleshoots complex system-level issues involving AI inference, firmware behavior, sensor data, device communication, and platform integration.\nCreates and maintains technical documentation, including architecture descriptions, design specifications, model deployment guides, validation procedures, and integration notes.\nExplores emerging embedded AI, TinyML, NPU, MCU, sensor fusion, and edge inference technologies to help drive innovation across future HP platforms.\n\nEducation & Experience Recommended\n\nBachelor’s or Master’s degree in Computer Science, Computer Engineering, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Robotics or a related technical discipline.\n7–10 years of relevant experience in embedded software, firmware, AI/ML deployment, edge inference, or system-level software development.\n\nPreferred Certifications\n\nEmbedded AI/ML Engineering\n\nHands-on experience deploying AI/ML models on embedded systems, edge devices, MCUs, SoCs, NPUs, DSPs, or other constrained compute platforms.\nExperience with model optimization techniques such as quantization, pruning, compression, TensorRT, ONNX, TFLite, or similar deployment toolchains.\nStrong understanding of ML inference pipelines, data preprocessing, sensor input handling, feature extraction, and runtime performance tuning.\nExperience integrating AI workloads with embedded firmware, device drivers, RTOS, Linux, Windows, or low-level system software environments.\nFamiliarity with AI validation, automated testing, CI/CD pipelines, model benchmarking, and regression testing for embedded platforms.\n\nEmbedded Systems and Platform Integration\n\nStrong embedded software development experience using C/C++ and Python for prototyping, automation, model conversion, and testing.\nExperience working with sensors, camera/audio pipelines, telemetry data, wireless modules, or contextual signals used by AI-enabled experiences.\nKnowledge of embedded communication protocols such as UART, I2C, SPI, USB, PCIe, Bluetooth, Wi-Fi, or other device interconnect standards.\nAbility to read hardware specifications, device datasheets, schematics, and platform architecture documents to support AI/ML feature integration.\n\nKnowledge & Skills\n\nProficient in C/C++ and Python; familiar with embedded scripting, automation, build systems, and model deployment workflows.\nExperience with AI/ML frameworks and formats such as PyTorch, TensorFlow, ONNX, TensorFlow Lite, OpenVINO, or similar toolchains.\nKnowledge of embedded system architecture, boot flow, firmware interfaces, memory constraints, power management, and real-time execution tradeoffs.\nSkilled in embedded debugging and profiling using JTAG, SWD, logic analyzers, oscilloscopes, performance counters, tracing tools, or vendor-specific debug environments.\nExperience optimizing AI workloads for latency, throughput, memory footprint, thermal behavior, and battery life on constrained devices.\nFamiliarity with AI accelerator SDKs, NPU/DSP/GPU offload, heterogeneous compute, and hardware/software co-optimization.\nUnderstanding of RTOS concepts, Linux/Windows system software, multi-threaded development, secure update mechanisms, and production-quality embedded software practices.\nStrong analytical and problem-solving skills with the ability to debug complex interactions across model behavior, firmware, drivers, sensors, and host software.\nAbility to work independently and collaboratively in a cross-functional engineering environment, translating AI concepts into reliable product experiences.\n\nThe pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.\n\nBenefits:\n\nHP offers a comprehensive benefits package for this position, including:\n\nHealth insurance\nDental insurance\nVision insurance\nLong term/short term disability insurance\nEmployee assistance program\nFlexible spending account\nLife insurance\nGenerous time off policies, including;\n4-12 weeks fully paid parental leave based on tenure\n11 paid holidays\nAdditional flexible paid vacation and sick leave ( US benefits overview )\n\nThe compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.\n\nJob -\n\nSoftware\n\nSchedule -\n\nFull time\n\nShift -\n\nNo shift premium (United States of America)\n\nTravel -\n\nRelocation -\n\nEqual Opportunity Employer (EEO) -\n\nHP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).\n\nPlease be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.\n\nFor more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal \"","company":"HP","rawCompany":"hp","city":"Spring","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-22T15:56:23.583Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2061.00","title":"Computer Hardware Engineers","slug":"computer-hardware-engineers"}],"industries":[{"code":"334111","title":"Electronic Computer Manufacturing","slug":"electronic-computer-manufacturing"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Embedded AI/ML Developer","description":"Embedded AI/ML Developer\n\nDescription -\n\nThe Embedded AI/ML Developer will design, develop, and optimize AI-enabled embedded software solutions for HP’s commercial PC and connected device portfolio. This role focuses on deploying efficient machine learning models at the edge, integrating AI capabilities with firmware and system software, and enabling intelligent user experiences across resource-constrained platforms.\n\nThe engineer will work closely with hardware, firmware, software, and data science teams to translate AI/ML concepts into production-ready embedded implementations. Responsibilities include model optimization, inference runtime integration, performance tuning, debugging, documentation, and staying current with emerging edge AI technologies, tools, and industry best practices.\n\nResponsibilities\n\nDesigns, develops, and optimizes embedded AI/ML software for edge devices, including PCs, docking solutions, displays, peripherals, and other intelligent client platforms.\nConverts AI/ML algorithms and proof-of-concept models into efficient, production-quality embedded implementations optimized for latency, memory, power, and compute constraints.\nIntegrates machine learning inference engines, model runtimes, and AI accelerators into embedded firmware and system software environments.\nCollaborates with cross-functional teams to define AI feature requirements, system architecture, data flow, model deployment strategy, and validation plans.\nProfiles and tunes embedded AI workloads to improve inference performance, reduce memory footprint, improve responsiveness, and optimize power consumption.\nDevelops and maintains software interfaces between AI/ML components, firmware, device drivers, sensors, embedded controllers, and host applications.\nSupports model compression, quantization, pruning, benchmarking, and deployment using embedded AI frameworks and hardware acceleration technologies.\nTroubleshoots complex system-level issues involving AI inference, firmware behavior, sensor data, device communication, and platform integration.\nCreates and maintains technical documentation, including architecture descriptions, design specifications, model deployment guides, validation procedures, and integration notes.\nExplores emerging embedded AI, TinyML, NPU, MCU, sensor fusion, and edge inference technologies to help drive innovation across future HP platforms.\n\nEducation & Experience Recommended\n\nBachelor’s or Master’s degree in Computer Science, Computer Engineering, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Robotics or a related technical discipline.\n7–10 years of relevant experience in embedded software, firmware, AI/ML deployment, edge inference, or system-level software development.\n\nPreferred Certifications\n\nEmbedded AI/ML Engineering\n\nHands-on experience deploying AI/ML models on embedded systems, edge devices, MCUs, SoCs, NPUs, DSPs, or other constrained compute platforms.\nExperience with model optimization techniques such as quantization, pruning, compression, TensorRT, ONNX, TFLite, or similar deployment toolchains.\nStrong understanding of ML inference pipelines, data preprocessing, sensor input handling, feature extraction, and runtime performance tuning.\nExperience integrating AI workloads with embedded firmware, device drivers, RTOS, Linux, Windows, or low-level system software environments.\nFamiliarity with AI validation, automated testing, CI/CD pipelines, model benchmarking, and regression testing for embedded platforms.\n\nEmbedded Systems and Platform Integration\n\nStrong embedded software development experience using C/C++ and Python for prototyping, automation, model conversion, and testing.\nExperience working with sensors, camera/audio pipelines, telemetry data, wireless modules, or contextual signals used by AI-enabled experiences.\nKnowledge of embedded communication protocols such as UART, I2C, SPI, USB, PCIe, Bluetooth, Wi-Fi, or other device interconnect standards.\nAbility to read hardware specifications, device datasheets, schematics, and platform architecture documents to support AI/ML feature integration.\n\nKnowledge & Skills\n\nProficient in C/C++ and Python; familiar with embedded scripting, automation, build systems, and model deployment workflows.\nExperience with AI/ML frameworks and formats such as PyTorch, TensorFlow, ONNX, TensorFlow Lite, OpenVINO, or similar toolchains.\nKnowledge of embedded system architecture, boot flow, firmware interfaces, memory constraints, power management, and real-time execution tradeoffs.\nSkilled in embedded debugging and profiling using JTAG, SWD, logic analyzers, oscilloscopes, performance counters, tracing tools, or vendor-specific debug environments.\nExperience optimizing AI workloads for latency, throughput, memory footprint, thermal behavior, and battery life on constrained devices.\nFamiliarity with AI accelerator SDKs, NPU/DSP/GPU offload, heterogeneous compute, and hardware/software co-optimization.\nUnderstanding of RTOS concepts, Linux/Windows system software, multi-threaded development, secure update mechanisms, and production-quality embedded software practices.\nStrong analytical and problem-solving skills with the ability to debug complex interactions across model behavior, firmware, drivers, sensors, and host software.\nAbility to work independently and collaboratively in a cross-functional engineering environment, translating AI concepts into reliable product experiences.\n\nThe pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.\n\nBenefits:\n\nHP offers a comprehensive benefits package for this position, including:\n\nHealth insurance\nDental insurance\nVision insurance\nLong term/short term disability insurance\nEmployee assistance program\nFlexible spending account\nLife insurance\nGenerous time off policies, including;\n4-12 weeks fully paid parental leave based on tenure\n11 paid holidays\nAdditional flexible paid vacation and sick leave ( US benefits overview )\n\nThe compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.\n\nJob -\n\nSoftware\n\nSchedule -\n\nFull time\n\nShift -\n\nNo shift premium (United States of America)\n\nTravel -\n\nRelocation -\n\nEqual Opportunity Employer (EEO) -\n\nHP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).\n\nPlease be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.\n\nFor more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal \"","datePosted":"2026-08-22T15:56:23.583Z","dateModified":"2026-08-22T15:56:23.583Z","hiringOrganization":{"@type":"Organization","name":"HP","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Spring","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f15d0d065ad6b9b786373068"},"url":"https://jobsearcher.com/jobs/f15d0d065ad6b9b786373068"}}