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Edge Computing AI Engineer

Bright Vision Technologies•United States•🌍 Remote
Full-time7-15
$100k - $105k
per year
👁️ 0 views•📝 0 applications•Posted 9/25/2026•Expires 11/24/2026
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Job Description

Edge Computing 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 Computing AI Engineer Location: 100% Remote (U. S.)

Position Type: Full-time, Direct W2 Salary Range: $100,000–$105,000 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 Computing 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. 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 a

Required Skills

PythonC++model compressionquantizationpruningedge inference frameworkmobile hardware architectureembedded hardware architectureML model deploymentperformance engineeringprofilingon-device privacyon-device security

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