[Remote] Edge AI Engineer

Note: The job is a remote job and is open to candidates in USA. Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. They are seeking an Edge AI Engineer to design, optimize, and deploy machine learning models for edge devices, requiring expertise in model compression and hardware-aware optimization.ResponsibilitiesDesign 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 within edge constraintsTune model performance for latency, energy efficiency, and memory footprint on target hardwareBuild cross-platform inference runtimes leveraging frameworks such as TensorFlow Lite, ONNX Runtime, and Core MLOptimize models for specific accelerator backends including DSPs, NPUs, and mobile GPUsImplement on-device model update, versioning, and rollback workflows that allow safe staged rollouts to large device populations and rapid recovery if a model release behaves unexpectedly in the fieldDesign hybrid edge-cloud architectures that gracefully degrade based on connectivity and device capabilityBuild telemetry pipelines that respect privacy while enabling continuous improvementCollaborate with hardware, firmware, and product teams to align AI capabilities with device constraintsImplement secure execution paths, model protection, and integrity verification on edge devicesDevelop benchmarking suites that characterize accuracy, latency, and energy trade-offs across devicesDrive responsible AI considerations including on-device privacy and bias evaluationMaintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over timeStay current 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 the teamSkillsBachelor's or Master's degree in Computer Science, Computer Engineering, or a related 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 frameworkSolid 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 privacy and security 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 deploymentsOpen-source contributions to edge AI frameworksExperience optimizing LLMs for on-device inferenceBenefitsCompetitive base salary commensurate with experience, plus benefits.Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.Company OverviewBright Vision Technologies is an information technology company that offers software development, AI, and cybersecurity services. It was founded in 2020, and is headquartered in Bridgewater, New Jersey, USA, with a workforce of 51-200 employees. Its website is https://bvteck.com.