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Salary
$100k – $160k per year
Location
Remote (United States)
Seniority
Staff · 10+ years exp
Visa
No sponsorship (stated in the posting)

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 21, 2026.

Overview
Company
Impact
Profile match
Bright Vision Technologies is an IT consulting, enterprise technology services, and workforce solutions enterprise. Headquartered in Bridgewater, New Jersey, United States, the minority-owned firm specializes in technology staffing, cybersecurity, application management, and digital product engineering. Founded in 2020, the enterprise delivers specialized staffing and IT services alongside proprietary automation and AI software - including its flagship enterprise talent intelligence platform, Lumina - serving clients across information technology, defense, healthcare, government, and manufacturing sectors.

AI Infrastructure 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: AI Infrastructure Engineer

Location: 100% Remote (U.S.)

Position Type: Full-time, Direct W2

Salary Range: $100,000-$160,000 Annually

Experience Required: 10+ 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 seeking an AI Infrastructure Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers, with strong emphasis on reliability, efficiency, and cost control. The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework, and brings strong software engineering discipline to platform work.

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