ML Performance Engineer (AI)

Location: 100% remote within the United States. The posting also lists South Jordan / Draper, Utah.

Salary: $100,000–$150,000 annually.

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

• Profile and optimize end-to-end AI training and inference pipelines for throughput, latency, and cost.
• Identify bottlenecks across data loading, model computation, communication, memory, and storage access.
• Implement quantization, sparsity, pruning, KV cache optimization, continuous batching, and speculative decoding for efficient LLM serving.
• Optimize distributed training with tensor parallelism, pipeline parallelism, FSDP, and ZeRO-style sharding.
• Drive compiler and kernel-level improvements using Triton, XLA, TorchInductor, or TVM.
• Build benchmark and regression frameworks, evaluate hardware and software, document tuning practices, and collaborate with ML and platform engineering teams.

Requirements

• Must be based in the United States; the role is 100% remote within the U.S.
• 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++, with hands-on experience optimizing deep learning workloads on modern GPUs.
• Deep understanding of distributed training and inference, profiling across CPU, GPU, and distributed systems, memory hierarchies, communication primitives, and parallelism.
• New H-1B visa petitions cannot be sponsored. U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply.

Nice to have

• Production-scale LLM inference optimization experience.
• Contributions to vLLM, TensorRT-LLM, DeepSpeed, or similar projects.
• Custom kernel authoring with Triton or CUTLASS.
• FinOps experience for AI workloads.
• Publications or talks on AI systems performance.

Culture & Benefits

• Full-time direct W-2 employment.
• Collaboration with product, design, engineering, operations, and business stakeholders.
• Opportunities to mentor junior engineers and contribute to code and design reviews.
• Career growth within an established technology consulting and software development organization.