AI Performance Optimization Engineer

We are seeking an AI Performance Optimization Engineer to focus on extracting maximum throughput, minimizing latency, and reducing cost across training and inference workloads for large neural network systems. The role spans the full stack from low-level kernel optimization to distributed system tuning, requiring deep understanding of GPU architecture, model parallelism, memory management, and compiler-level optimization.

What You Will Do

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.

Why It Might Be a Fit

The ideal candidate has demonstrated impact on production AI workloads, with strong instrumentation and measurement discipline that enables rigorous, data-driven optimization decisions. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.

Requirements

• 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.

Benefits

• Competitive base salary commensurate with experience, plus benefits.
• 100% remote work option.
• Long-term, multi-year employment engagement.
• H1B transfers welcomed for qualified candidates.