Note: The job is a remote job and is open to candidates in USA. Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. The AI Systems Engineer will design, build, and operate the platform layer supporting large-scale AI training and inference workloads, focusing on GPU clusters, distributed training frameworks, scheduling, storage performance, developer experience, reliability, efficiency, and cost control.
Responsibilities
- Design, build, and operate the platform layer that powers large-scale AI training and inference workloads
- 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
Skills
- 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
Benefits
- 100% Remote (U.S.)
- Full-time, Direct W2
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