Python Inference Engineer

Added
7 days ago
Type
Full time
Salary
Salary not provided

Related skills

docker python kubernetes pytorch vllm

📋 Description

  • Build and improve the inference layer of the Gcore Inference platform
  • Integrate and operate inference frameworks such as vLLM, SGLang, NVIDIA Dynamo, and TensorRT-LLM
  • Bring new language and multimodal models into production
  • Improve inference latency, throughput, memory use, GPU utilization, and cost efficiency
  • Debug performance and reliability issues across model code, inference frameworks, GPU execution
  • Work with platform, infrastructure, product, and customer-facing teams to turn inference

🎯 Requirements

  • 5+ years of experience writing reliable, well-tested production code
  • Strong Python skills and experience designing production systems
  • Hands-on experience with PyTorch and deploying machine learning models
  • Experience with Linux, Docker, and Kubernetes
  • Experience in at least one relevant area: distributed systems, GPU computing, ML runtimes, model
  • Ability to debug complex problems across software, infrastructure, and hardware

🎁 Benefits

  • Competitive compensation
  • Flexible working hours and hybrid or remote options, depending on your role
  • Work from anywhere in the world for up to 45 days per year
  • Private medical insurance for you and your family*
  • Extra paid vacation and sick leave days*
  • Support for life’s important moments and celebrations
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