Remote AI Performance Optimization Engineer

NEPSE Trading; United States; Hybrid; USD 90,000 - 110,000; Full time

Job summary

Bright Vision Technologies is hiring an AI Optimization Engineer for a fully remote, full-time role in the United States. The role focuses on maximizing throughput, minimizing latency, and reducing costs for large neural network systems across training and inference workloads.

The candidate should have 6+ years in performance engineering or ML systems, strong Python and C++, and experience with GPUs, distributed training, and profiling tools.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field.
• Six+ years in performance engineering, ML systems, or HPC.
• Strong Python and C++ proficiency.

Responsibilities

• Optimize AI workloads across training and inference on GPUs, balancing throughput, latency, and cost.
• Collaborate with product, design, engineering, and operations to translate requirements into robust solutions.
• Mentor junior engineers and contribute to code and design reviews.

Skills

Python

C++

Distributed training

Performance engineering

GPU optimization

Measurement & debugging

Collaboration

Education

Bachelor’s or Master’s in CS/CE

Tools

Profiling tools

Triton

CUTLASS

TensorRT-LLM

DeepSpeed

Job description

Bright Vision Technologies is hiring an AI Optimization Engineer for a fully remote, full-time role in the United States. The role focuses on maximizing throughput, minimizing latency, and reducing costs for large neural network systems across training and inference workloads.

The candidate should have 6+ years in performance engineering or ML systems, strong Python and C++, and experience with GPUs, distributed training, and profiling tools.