Remote AI Performance Engineer — Optimize ML Pipelines

Bright Vision Technologies; Cranberry Township (Butler County); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Performance Engineer for a 100% remote U.S. role. You will profile and optimize end-to-end AI training and inference pipelines, focusing on throughput, latency, and cost reductions across data loading, compute, and memory.

The role requires 6+ years in performance engineering and expertise in Python/C++, distributed training, and GPU optimizations. Collaboration with ML and platform teams is essential to deploy scalable improvements.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
• Six or more years of experience in performance engineering, ML systems, or HPC.
• Strong proficiency in Python and C++.
• Hands-on experience optimizing deep learning workloads on modern GPUs.
• Deep understanding of distributed training and inference techniques.
• Experience with profiling tools across CPU, GPU, and distributed systems.
• Familiarity with model compression techniques and their accuracy implications.
• Strong grasp of memory hierarchies, communication primitives, and parallelism strategies.
• Excellent measurement, debugging, and analytical reasoning skills.
• Strong communication and collaboration skills.

Responsibilities

• 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.
• Optimize distributed training using tensor parallelism, pipeline parallelism, FSDP, and ZeRO-style sharding.
• Tune attention implementations using FlashAttention, paged attention, and related techniques.
• Implement KV cache optimization, continuous batching, and speculative decoding for LLM serving.
• Drive compiler-level optimizations using Triton, XLA, TorchInductor, or TVM, working with the broader ML framework community to land improvements that translate into measurable end-to-end performance gains.
• Optimize data pipelines, sharding strategies, and storage access patterns for high-throughput training.
• Build and maintain rigorous benchmark suites and regression frameworks across workloads.
• Collaborate with ML and platform engineering teams to embed best practices in standard pipelines.
• Drive cost-efficiency improvements through model architecture, hardware selection, and scheduling strategies.
• Evaluate new hardware and software offerings, and advise on adoption.
• Document performance tuning playbooks and share findings broadly across engineering teams.
• Stay current with AI systems research and translate advances into production improvements.

Skills

Python

C++

Performance engineering

ML systems

HPC

Profiling tools

Distributed training

GPU optimization

Memory hierarchies

Debugging

Collaboration

Education

Bachelor’s or Master’s degree in Computer Science or Computer Engineering

Tools

Triton

XLA

TorchInductor

TVM

CUTLASS

TensorRT-LLM

DeepSpeed

Job description

Bright Vision Technologies is seeking an AI Performance Engineer for a 100% remote U.S. role. You will profile and optimize end-to-end AI training and inference pipelines, focusing on throughput, latency, and cost reductions across data loading, compute, and memory.

The role requires 6+ years in performance engineering and expertise in Python/C++, distributed training, and GPU optimizations. Collaboration with ML and platform teams is essential to deploy scalable improvements.