Remote Senior Model Optimization Engineer

Bright Vision Technologies; Wildwood (MO); Remote; USD 150,000 - 175,000; Full time

Job summary

Bright Vision Technologies is seeking a Model Optimization Engineer for a 100% remote U.S. role. You will optimize throughput, latency, and cost across training and inference workloads for large neural networks, spanning kernel to distributed systems.

The ideal candidate has 6+ years in ML performance engineering, strong Python/C++ skills, and deep understanding of GPU-based workloads, distributed training, and model compression. Collaboration and mentorship are essential components of the role.

Qualifications

• 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.

Responsibilities

• Focus on extracting maximum throughput, minimizing latency, and reducing cost across training and inference workloads for large neural network systems.
• Spans the full stack from low-level kernel optimization to distributed system tuning.
• Collaborate with product, design, engineering, operations, and business stakeholders.
• Mentor junior engineers and participate in code and design reviews.

Skills

Python

C++

GPU optimization

Distributed training

Profiling tools

Model compression

Memory optimization

Debugging & analytics

Communication & collaboration

Education

Bachelor’s or Master’s in CS/CE or related field

Tools

Triton/CUTLASS

TensorRT/DeepSpeed

Job description

Bright Vision Technologies is seeking a Model Optimization Engineer for a 100% remote U.S. role. You will optimize throughput, latency, and cost across training and inference workloads for large neural networks, spanning kernel to distributed systems.

The ideal candidate has 6+ years in ML performance engineering, strong Python/C++ skills, and deep understanding of GPU-based workloads, distributed training, and model compression. Collaboration and mentorship are essential components of the role.