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AI Performance Engineer
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Job Description
AI Performance Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: AI Performance Engineer Location: 100% Remote (U. S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience Required: 10+ years Sponsorship: U.
S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Key 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 adoptio
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