Senior ML Engineer - Real-Time Vision & CUDA GPU

Prosum; Phoenix (AZ); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Prosum seeks a Senior Machine Learning Engineer to architect and optimize real-time, high-throughput image pipelines for next-generation mask inspection tools. You will eliminate bottlenecks through CUDA kernel tuning and GPU parallel computing, ensuring deep learning models and CV algorithms process streaming data at production scale.

The role requires hands-on experience with TensorRT/ONNX, deployment in C++/Python applications, and collaboration with multiple engineering teams in a hybrid

Qualifications

• Senior ML/AI engineer with real-time processing experience.
• Experience architecting and optimizing image pipelines for high-throughput systems.
• Proven ability to deploy models in production-grade C++/Python applications.

Responsibilities

• Design and optimize real-time image pipelines for vision systems.
• Develop CUDA kernels and GPU-accelerated components.
• Deploy and optimize ML models with TensorRT/ONNX Runtime.
• Collaborate with ML scientists and software engineers.

Skills

CUDA

Python

C++

TensorRT

ONNX

GPU acceleration

Deep learning

Computer vision

Tools

GPU profiling

Real-time processing

Job description

Prosum seeks a Senior Machine Learning Engineer to architect and optimize real-time, high-throughput image pipelines for next-generation mask inspection tools. You will eliminate bottlenecks through CUDA kernel tuning and GPU parallel computing, ensuring deep learning models and CV algorithms process streaming data at production scale.

The role requires hands-on experience with TensorRT/ONNX, deployment in C++/Python applications, and collaboration with multiple engineering teams in a hybrid