AI Systems Engineer

AI Systems Engineer – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
Job Title: AI Systems Engineer
Location: 100% Remote (U.Position Type:

Full-time, Direct W2
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.
We are seeking an AI Systems 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.
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.
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.
For immediate consideration, please send your resume to Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.