Senior Software Engineer / Lead (ai/ml Platform)

Razer Gold

Not specified
8+ years software engineering experience
Local and cloud gpu environment operation
Transformer-based model inference optimization
Razer Gold is seeking a Senior Software Engineer / Lead for their AI/ML platform, focusing on the design and implementation of high-throughput training and inference systems utilizing local and cloud GPU environments. The ideal candidate should possess extensive experience in software engineering and machine learning infrastructure, with a strong emphasis on systems architecture and GPU performance optimization

Job Summary

  • Join Razer to revolutionize the gaming world by designing a global AI/ML platform capable of high-throughput training and inference.
  • Lead engineering initiatives to define platform architecture and optimize GPU clusters across heterogeneous compute environments including AWS, GCP, and Azure.
  • Mentor engineers and collaborate with ML researchers to co-design efficient algorithms while ensuring reliable operation of AI workloads at scale.

Matching Summary

Match Score: 85

Razer Gold is seeking a Senior Software Engineer / Lead for their AI/ML platform, focusing on the design and implementation of high-throughput training and inference systems utilizing local and cloud GPU environments. The ideal candidate should possess extensive experience in software engineering and machine learning infrastructure, with a strong emphasis on systems architecture and GPU performance optimization.

Skills & Requirements

Must-have

  • 8+ years software engineering experience
  • Local and cloud GPU environment operation
  • Transformer-based model inference optimization
  • Python and C++ or Go proficiency
  • Distributed systems and Kubernetes orchestration
  • CUDA programming and GPU memory tuning

Nice-to-have

  • On-device or edge-accelerated inference experience
  • Cloud-native GPU scheduling knowledge
  • Model compression and quantization techniques
  • Open-source AI infrastructure contributions
  • Master's degree or PhD in CS or EE

Key Requirements

  • 8+ years of experience in software engineering or ML infrastructure
  • Deep knowledge of transformer-based model training and inference
  • Strong proficiency in Python and C++ or Go
  • Experience with PyTorch, TensorFlow, vLLM, SGLang, TensorRT, or Triton
  • Solid understanding of distributed systems and container orchestration

Work Rights

Not specified

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