Remote AI Optimization Engineer – Performance & Cost

Bright Vision Technologies; Sunnyvale (CA); On-site; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Optimization Engineer to maximize throughput, minimize latency, and reduce costs across training and inference workloads for large neural networks. You'll address the full stack from kernel optimization to distributed system tuning, working with GPUs and modern accelerators.

The ideal candidate has a strong track record in production AI workloads, with expertise in Python and C++, performance measurement, and collaboration across product, design, and

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
• Six+ years of experience in performance engineering, ML systems, or HPC.
• 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.

Responsibilities

• Optimize throughput, reduce latency, and lower cost for training and inference on large neural networks.
• Work from kernel optimization up to distributed system tuning.
• Collaborate with cross-functional teams to translate requirements into engineered solutions.
• Mentor junior engineers and contribute to design and code reviews.

Skills

Python

C++

Performance engineering

ML systems

GPU optimization

Distributed training

Profiling tools

Memory hierarchies

Debugging/analysis

Communication

Education

Bachelor's or Master's in CS/CE

Tools

Triton

CUTLASS

TensorRT-LLM

DeepSpeed

Job description

Bright Vision Technologies is seeking an AI Optimization Engineer to maximize throughput, minimize latency, and reduce costs across training and inference workloads for large neural networks. You'll address the full stack from kernel optimization to distributed system tuning, working with GPUs and modern accelerators.

The ideal candidate has a strong track record in production AI workloads, with expertise in Python and C++, performance measurement, and collaboration across product, design, and