Edge AI Engineer

About Bright Vision Technologies

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.

As we continue to grow, we're looking for a skilled Edge AI Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Position Details

Job Title: Edge AI Engineer

Salary Range: $100,000–$150,000 per annum

Location: 100% Remote (Continental United States)

Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)

Experience Required: 6+ years

Employment Type: Full-time, direct W2 with Bright Vision Technologies

Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap

Compensation: Competitive base salary commensurate with experience, plus benefits

Employment Terms & Visa Policy

• This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies
• This role is part of Bright Vision Technologies' in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved
• No C2C, 1099, or third-party arrangements for this role
• Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to in-house SOW deliverables
• No new H1B sponsorship is available for this role
• Candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. H1B transfers will be supported for qualified candidates
• A technical coding assessment is mandatory for all applicants

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 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

For immediate consideration, please send your resume to boon@bvteck.com or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com.

Equal Employment Opportunity

Bright Vision Technologies 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.

Bright Vision Technologies 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.

Bright Vision Technologies is an Equal Opportunity Employer, including Disability/Veterans.

Position offered by "No Fee Agency."