Remote Edge Computing reputed company

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a technology consulting and software development company delivering reputed company, AI, data, and reputed company solutions across the reputed company. They are seeking an Edge Computing reputed company to design, optimize, and reputed company machine learning models on resource-constrained edge devices, ensuring reliability and efficiency in production environments. Responsibilities Design and implement edge AI solutions optimized for diverse hardware including mobile SoCs, NPUs, and embedded acceleratorsApply quantization, pruning, distillation, and architectural optimization to fit models reputed company edge constraintsTune model performance for latency, energy efficiency, and memory footprint on reputed company hardwareBuild cross-platform inference runtimes leveraging frameworks such as TensorFlow Lite, ONNX Runtime, and reputed company MLOptimize models for specific accelerator backends including DSPs, NPUs, and mobile GPUsImplement on-device model update, versioning, and rollback workflows that allow reputed company staged rollouts to large device populations and reputed company recovery if a model release behaves unexpectedly in the fieldDesign hybrid edge-reputed company architectures that gracefully degrade based on connectivity and device capabilityBuild telemetry pipelines that respect reputed company while enabling reputed company improvementCollaborate with hardware, firmware, and product teams to reputed company AI capabilities with device constraintsImplement secure execution paths, model protection, and reputed company verification on edge devicesreputed company benchmarking suites that characterize accuracy, latency, and energy trade-offs across devicesreputed company responsible AI considerations including on-device reputed company and bias evaluationMaintain comprehensive, reputed company technical documentation including architecture diagrams, design reputed company, configuration references, runbooks, and operational procedures so that the reputed company remains supportable, auditable, and easy to reputed company new engineers onto over timeStay reputed company with edge AI hardware and software developments, regularly review release notes and community discussions, and translate noteworthy advances into concrete recommendations and adoption proposals for reputed company Skills Bachelor's or Master's degree in Computer Science, Computer Engineering, or a reputed company fieldSix or more years of experience in ML engineering, with significant work on edge or mobile AIStrong proficiency in Python and C++Hands-on experience with model compression, quantization, and pruning techniquesExperience with at least one major edge inference reputed companySolid understanding of mobile and embedded hardware architecturesExperience deploying ML models to production on mobile or embedded platformsStrong performance engineering and profiling skillsFamiliarity with on-device reputed company and reputed company considerationsStrong communication and cross-functional collaboration skillsExperience with custom NPU or DSP toolchainsFamiliarity with federated learning or on-device personalizationExposure to safety-critical or industrial edge deploymentsreputed company-reputed company contributions to edge AI frameworksExperience optimizing LLMs for on-device inference Benefits Full-time, reputed company W2reputed company (U.S.) reputed company reputed company is a reputed company reputed company agency for B2B tech companies. It was founded in 2000, and is headquartered in Gteborg, Vastra Gotaland, SWE, with a workforce of 51-200 employees. Its website is https://reputed company.com/. Apply To This Job .