AI Systems Engineer

About the role

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.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title: AI Systems Engineer

Location: 100% Remote (U.S.)

Position Type: Full-time, Direct W2

Salary Range: $90,000–$100,000 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 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.

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 hilda@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