Intelligent Infrastructure Engineer

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Be an Early Applicant
Tampa, FL, USA
In-Office
100K-150K Annually
Senior level
Artificial Intelligence • Information Technology • Software • Consulting
The Role
Design, build, and operate infrastructure powering large-scale AI training and inference. Responsibilities include managing GPU clusters, distributed training frameworks, schedulers, storage, networking, reliability, cost efficiency, and developer platforms. The role requires production ML infrastructure experience, strong Python and systems-language skills, Linux and cloud expertise, and familiarity with Kubernetes, Slurm, Ray, or similar systems.
Summary Generated by Built In
Intelligent 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: Intelligent Infrastructure Engineer
Location: 100% Remote (United States)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience: 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 seeking an Intelligent 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.

 
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of experience in infrastructure, platform, or HPC engineering.
  • Hands-on experience operating GPU clusters or large-scale ML training infrastructure.
  • Strong proficiency in Python and at least one systems language such as Go or C++.
  • Deep understanding of distributed training, accelerator architectures, and collective communication.
  • Experience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloads.
  • Strong understanding of Linux internals, networking, and high-performance storage.
  • Experience with at least one major cloud provider’s ML infrastructure offerings.
  • Strong software engineering practices including testing, CI/CD, and code review.
  • Excellent communication and cross-functional collaboration skills.
Preferred Qualifications
  • Experience operating InfiniBand or RDMA networking at scale.
  • Contributions to open-source ML infrastructure projects.
  • Familiarity with custom orchestrators or research-grade training stacks.
  • Exposure to frontier model training operations.
  • Experience with FinOps for AI workloads.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 676-4399. Learn more about Bright Vision Technologies at www.bvteck.com. 
 
Bright Vision Technologies is an Equal Opportunity Employer. 

Skills Required

  • Bachelor's or Master's degree in Computer Science or a related field
  • Six or more years of experience in infrastructure, platform, or HPC engineering
  • Hands-on experience operating GPU clusters or large-scale ML training infrastructure
  • Strong proficiency in Python and at least one systems language such as Go or C++
  • Deep understanding of distributed training, accelerator architectures, and collective communication
  • Experience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloads
  • Strong understanding of Linux internals, networking, and high-performance storage
  • Experience with at least one major cloud provider's ML infrastructure offerings
  • Strong software engineering practices including testing, CI/CD, and code review
  • Excellent communication and cross-functional collaboration skills
  • Experience operating InfiniBand or RDMA networking at scale
  • Contributions to open-source ML infrastructure projects
  • Familiarity with custom orchestrators or research-grade training stacks
  • Exposure to frontier model training operations
  • Experience with FinOps for AI workloads

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The Company
HQ: Bridgewater, NJ
53 Employees
Year Founded: 2020

What We Do

Bright Vision Technologies is a minority-owned organization founded in July 2020 and based in New Jersey, USA. The company specializes in delivering top-tier staffing and IT consulting services, including custom computer programming and systems design. Additionally, they are a product engineering firm with a flagship AI-powered talent intelligence and enterprise automation platform called Lumina, which helps transform IT into a strategic asset for their valued partners.

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