Edge Computing AI Engineer

About the role

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 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 hilda@bvteck.com. Learn more about Bright Vision Technologies at www.bvteck.com.

Bright Vision Technologies is an Equal Opportunity Employer.

Posting text as published by Brightvisiontechnologies.

The evidence behind this listing

Workplace

Remote Matched in posting text

Seniority

Not established

Employment type

full time

Location as listed

LA — Artesia / Cerritos, CA, United States

Pay and work authorization

Stated pay

Not stated

Visa sponsorship

Not stated

Security clearance

Not established

Citizenship

Not established