Remote ML Performance Engineer — High-Throughput AI

Bright Vision Technologies; South Jordan, Draper (UT, UT); A distancia; USD 100.000 - 150.000; Jornada completa

Descripción de la vacante

Bright Vision Technologies seeks an AI Performance Optimization Engineer to maximize throughput, minimize latency, and reduce cost across training and inference workloads for large neural networks. The role spans low-level kernel optimization to distributed system tuning and requires deep GPU architecture knowledge and model parallelism.

The successful candidate will collaborate with product, design, engineering, operations, and business teams to translate ambiguous requirements into

Formación

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

Responsabilidades

• Profile and optimize end-to-end AI training and inference pipelines for throughput, latency, and cost.
• Identify and eliminate bottlenecks across data loading, model compute, communication, and memory.
• Implement and tune quantization, sparsity, and pruning strategies to reduce model footprint and accelerate inference.
• Drive distributed training using tensor parallelism, pipeline parallelism, FSDP, and ZeRO-style sharding.
• Tune attention implementations using FlashAttention and related techniques.
• Drive compiler-level optimizations using Triton, XLA, TorchInductor, or TVM.
• Optimize data pipelines, sharding strategies, and storage access patterns for high throughput.
• Build and maintain benchmark suites and regression frameworks across workloads.
• Collaborate with ML and platform teams to embed best practices in standard pipelines.
• Drive cost-efficiency through model architecture, hardware selection, and scheduling strategies.
• Evaluate new hardware/software offerings and advise on adoption.
• Document performance tuning playbooks and share findings broadly.
• Stay current with AI systems research and translate advances into production improvements.

Conocimientos

Python

C++

Performance engineering

ML systems

HPC

Educación

Bachelor’s or Master’s degree in Computer Science/Computer Engineering or related field

Herramientas

Triton

XLA

TorchInductor

TVM

TensorRT-LLM

DeepSpeed

Descripción del empleo

Bright Vision Technologies seeks an AI Performance Optimization Engineer to maximize throughput, minimize latency, and reduce cost across training and inference workloads for large neural networks. The role spans low-level kernel optimization to distributed system tuning and requires deep GPU architecture knowledge and model parallelism.

The successful candidate will collaborate with product, design, engineering, operations, and business teams to translate ambiguous requirements into