{"id":2063347,"url":"https://alion.io/job/nxp-semiconductors-software-engineer-edge-ai","title":"Software Engineer - Edge AI","company":{"id":17368,"name":"NXP Semiconductors","domain":"nxp.com","url":"https://alion.io/company/nxp","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":196,"ghost_share":0,"stale_share":0.934,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Backend","role_family":"Backend","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":["Beijing, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"RTOS","optional":true}],"status":"live","first_seen_at":"2026-10-08T02:48:18Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-12T03:01:17Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"The AI Platform / Infrastructure role focuses on enabling the development, deployment, and operation of artificial intelligence solutions across the organization. It designs and maintains AI platforms, pipelines, and tooling to support scalable, reliable, and governed use of machine learning and AI systems.\nResponsibilities:\nDevelop and optimize Embedded ML inference engines for microcontrollers.\nTrain and fine-tune machine learning models using TensorFlow and PyTorch to be deployed on resource-constrained devices.\nImplement and experiment with techniques to improve model performance on low-power and memory-limited devices.\nCollaborate with cross-functional teams to integrate ML solutions into embedded systems.\nConduct research on new machine learning techniques and tools specifically for Embedded ML applications.\nOptimize machine learning algorithms to meet the performance and resource constraints of embedded systems.\nStay up-to-date with the latest advancements in Embedded ML by reading and interpreting technical articles and research papers.\nRequirements:\nBachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.\nStrong experience with TensorFlow and PyTorch for model training and deployment.\nProficiency in programming languages such as C, C++, and Python.\nExtensive experience in embedded software development and machine learning.\nExcellent programming skills in at least one of the following: C, C++, or Python.\nProven ability to read and understand technical articles and research papers in English.\nStrong problem-solving skills and attention to detail.\nGood communication skills and the ability to work collaboratively in a team environment.\nPreferred Qualifications:\nProven experience with deploying machine learning models to embedded devices, specifically for Embedded ML applications.\nFamiliarity with embedded systems, microcontrollers, and real-time operating systems (RTOS).\nDeep understanding of software development life cycle and best practices for embedded systems.\nPrevious experience in a full-time role or significant project in a related field.\nExpertise in optimization techniques for low-power and low-latency machine learning models.\nWorking knowledge of the NXP MCU SDK is a strong plus\nExperience coordinating project deliverables and driving clear communication with global teams across time zones is a plus\n More information about NXP in Greater China...\n#LI-67af","description_format":"text","description_chars":2450,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Science & Engineering","Electrical & Electronic Engineering","Analog & Power Semiconductors"],"lifecycle":[{"event":"open","at":"2026-10-08T02:48:18Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely 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