Remote AI Performance Engineer — Optimize LLM Pipelines

Bright Vision Technologies; Glastonbury (CT); On-site; USD 90,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Performance Engineer for a 100% remote position in the United States. The role focuses on profiling and optimizing AI training and inference pipelines to improve throughput, latency, and cost. Requires 6+ years in ML systems or HPC with strong Python/C++ skills and GPU experience.

Responsibilities include distributed training optimizations, compiler-level improvements, and data-pipeline tuning. Competitive salary and full-time direct employment offered.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field.
• 6+ 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.

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 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 to improve end-to-end perf.
• 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 pipelines.
• Drive cost-efficiency 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 across teams.
• Stay current with AI systems research and translate advances into production improvements.

Skills

Python

C++

Performance engineering

GPU optimization

Profiling tools

Distributed training

ML systems

Education

Bachelor’s or Master’s in CS/CE

Tools

TensorRT

Triton

XLA

Job description

Bright Vision Technologies is seeking an AI Performance Engineer for a 100% remote position in the United States. The role focuses on profiling and optimizing AI training and inference pipelines to improve throughput, latency, and cost. Requires 6+ years in ML systems or HPC with strong Python/C++ skills and GPU experience.

Responsibilities include distributed training optimizations, compiler-level improvements, and data-pipeline tuning. Competitive salary and full-time direct employment offered.