Remote ML Infra Architect: Scalable GPU Training
bright vision technologiesMinneapolis (MN)
Remote ML Infra Architect: Scalable GPU Training
Posted yesterday
bright vision technologiesMinneapolis (MN)
Computer Systems Engineers/ArchitectsComputing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
SENIORITY
Manager
About the role
Bright Vision Technologies is seeking an AI Infrastructure Engineer to design, build, and operate the platform layer powering large-scale AI training and inference workloads. The role emphasizes GPU clusters, distributed training, scheduling, storage performance, and developer experience for ML engineers and researchers, with focus on reliability, efficiency, and cost control.
The ideal candidate has built production AI infrastructure at scale, understands hardware, kernel, scheduler, and ML
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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