• Skills: Docker, Kubernetes, Machine Learning, Web security, Large Language Models, Python, PyTorch, CUDA
• Experiences: Senior
• Employments: Full-time
• Benefits: Flexible working hours
• Locations: Worldwide (Remote)

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, networking, and Kubernetes.
• Collaborate with various teams to turn inference improvements into reliable product features.
• Contribute to open-source inference projects when appropriate.

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 distributed systems, GPU computing, ML runtimes, model optimization, or cluster scheduling.
• Ability to debug complex problems across software, infrastructure, and hardware.
• Strong sense of developer experience and genuine interest in inference engineering.
• Good communication and collaboration skills.

Benefits:

• Competitive compensation.
• Flexible working hours and hybrid or remote options.
• 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.
• Language courses to help you connect and grow.
• Modern, welcoming offices with snacks, drinks, and entertainment.*
• Team sports and social activities.*

*Benefits may vary depending on your location.