TensorRT/CUDA Inference Engineer — UK Visa Sponsorship

Methodfi; City of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A forward-thinking technology company based in London is looking for a Neural Network Optimization Engineer to enhance the efficiency of neural network inference workflows. The role requires expertise in TensorRT, Triton language, and CUDA programming, along with a deep understanding of GPU architectures. The company offers a competitive salary, professional growth opportunities, and support for Skilled Worker visa sponsorship in the UK.

Benefits

Competitive salary

Skilled Worker visa sponsorship

Opportunities for professional growth

Collaborative work environment

Impactful projects

Qualifications

• Proven professional experience optimizing neural network inference workloads.
• Strong expertise with TensorRT and Triton language.
• Experience with neural network quantization techniques.

Responsibilities

• Optimize neural network models for inference performance.
• Implement model quantization methods for better efficiency.
• Benchmark and analyze performance on targeted hardware.

Skills

TensorRT

Triton language

CUDA programming

Python

PyTorch

neural network inference optimization

Tools

CUDA Toolkit

Quantization tools

Job description

A forward-thinking technology company based in London is looking for a Neural Network Optimization Engineer to enhance the efficiency of neural network inference workflows. The role requires expertise in TensorRT, Triton language, and CUDA programming, along with a deep understanding of GPU architectures. The company offers a competitive salary, professional growth opportunities, and support for Skilled Worker visa sponsorship in the UK.