Senior AI Performance Engineer — Remote

Socket.dev; Ann Arbor (MI); On-site; USD 75,000 - 100,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Performance Engineer to optimize throughput, reduce latency, and lower cost across training and inference workloads for large neural networks. You will work from a fully remote U.S.

context, spanning kernel optimization to distributed system tuning, collaborating with product, design, engineering, operations, and business teams. The ideal candidate has a BS or MS in CS/CE, 6+ years in performance engineering or HPC, strong Python and C++, and hands-on

Qualifications

• Bachelor's or Master's degree in CS/CE or related field.
• 6+ years in performance engineering, ML systems, or HPC.
• Proficient in Python and C++.
• Experience optimizing DL workloads on modern GPUs.
• Knowledge of distributed training and inference.
• Experience with profiling CPU/GPU/distributed systems.
• Understanding of memory hierarchies and parallelism.
• Excellent measurement, debugging, and analytical skills.
• Strong communication and collaboration.

Responsibilities

• Optimize throughput, latency, and cost for training and inference workloads.
• Tune low-level kernel performance and distributed system settings.
• Collaborate with product, design, engineering, operations, and business teams.
• Mentor junior engineers and participate in code/design reviews.

Skills

Python

C++

GPU optimization

Profiling tools

Distributed training

Debugging

Analytical reasoning

Communication

Education

CS/CE degree

Tools

Triton

CUTLASS

TensorRT-LLM

DeepSpeed

Job description

Bright Vision Technologies is seeking an AI Performance Engineer to optimize throughput, reduce latency, and lower cost across training and inference workloads for large neural networks. You will work from a fully remote U.S.

context, spanning kernel optimization to distributed system tuning, collaborating with product, design, engineering, operations, and business teams. The ideal candidate has a BS or MS in CS/CE, 6+ years in performance engineering or HPC, strong Python and C++, and hands-on