Embedded 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: Embedded AI Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 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 Embedded 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 accelerators
Apply quantization, pruning, distillation, and architectural optimization to fit models within edge constraints
Tune model performance for latency, energy efficiency, and memory footprint on target hardware
Build cross-platform inference runtimes leveraging frameworks such as TensorFlow Lite, ONNX Runtime, and Core ML
Optimize models for specific accelerator backends including DSPs, NPUs, and mobile GPUs
Implement 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 field
Design hybrid edge-cloud architectures that gracefully degrade based on connectivity and device capability
Build telemetry pipelines that respect privacy while enabling continuous improvement
Collaborate with hardware, firmware, and product teams to align AI capabilities with device constraints
Implement secure execution paths, model protection, and integrity verification on edge devices
Develop benchmarking suites that characterize accuracy, latency, and energy trade-offs across devices
Drive responsible AI considerations including on-device privacy and bias evaluation
Maintain 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 time
Stay 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 field
Six or more years of experience in ML engineering, with significant work on edge or mobile AI
Strong proficiency in Python and C++
Hands-on experience with model compression, quantization, and pruning techniques
Experience with at least one major edge inference framework
Solid understanding of mobile and embedded hardware architectures
Experience deploying ML models to production on mobile or embedded platforms
Strong performance engineering and profiling skills
Familiarity with on-device privacy and security considerations
Strong communication and cross-functional collaboration skills
Preferred Qualifications
Experience with custom NPU or DSP toolchains
Familiarity with federated learning or on-device personalization
Exposure to safety-critical or industrial edge deployments
Open-source contributions to edge AI frameworks
Experience 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 Jenny@bvteck.com or contact us at (908) 505-3544. 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.
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