Edge AI Engineer

Edge AI Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Edge AI Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$155,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary: We are looking for an Edge AI Engineer to design, optimize, and deploy machine learning models that run efficiently on resource-constrained edge devices, including mobile platforms, embedded systems, and specialized accelerators. The role requires deep expertise in model compression, quantization, and hardware-aware optimization, along with strong systems engineering skills to ship reliable AI capabilities outside the data center. The ideal candidate has shipped edge AI in production environments where compute, memory, energy, and connectivity constraints fundamentally shape the engineering trade-offs. Key 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 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 team Required Qualifications Bachelor’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 skills Preferred Qualifications Experience 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 inference How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to venkat.r@bvteck.com or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com. Bright Vision Technologies is an Equal Opportunity Employer. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment. Powered by JazzHR eDw3KgR5UO