Python Inference Engineer

Gcore; United States; Hybrid; USD 140,000 - 230,000; Full time

Benefits offered by this job

Competitive compensation

Flexible working hours and hybrid or 远

Work from anywhere up to 45 days/year

Private medical insurance for you and/

Extra paid vacation and sick leave

Language courses

Modern offices with snacks and drinks

Team sports and social activities

Job summary

Gcore is seeking an experienced inference engineer to build and optimize the inference layer of the Gcore Inference platform. You will integrate frameworks like vLLM, SGLang, NVIDIA Dynamo, and TensorRT-LLM to bring new language and multimodal models into production.

You will focus on latency, throughput, memory usage, and GPU utilization, collaborating with platform, infra, product, and customer teams, and contributing to open-source projects where appropriate.

Qualifications

• 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.

Responsibilities

• 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 platform, infrastructure, product, and customer-facing teams to turn inference improvements into reliable product features.
• Contribute improvements to open-source inference projects when appropriate.

Skills

Python

PyTorch

Linux

Docker

Kubernetes

Distributed systems

GPU computing

Debugging

Communication

Willingness to learn

Tools

vLLM

SGLang

NVIDIA Dynamo

TensorRT-LLM

CUDA

Triton

Job description

What You'll Do

• 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.
• Work with platform, infrastructure, product, and customer-facing teams to turn inference improvements into reliable product features.
• Contribute improvements to open-source inference projects when appropriate.

What We're Looking For

• 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 optimization, or cluster scheduling.
• Ability to debug complex problems across software, infrastructure, and hardware.
• Strong sense of developer experience: you think about how systems are used, not just how they work.
• Genuine interest in inference engineering. You do not need direct experience with inference engines, but you should be motivated to learn.
• Good communication and collaboration skills.

Nice to Have

• Experience with vLLM, SGLang, NVIDIA Dynamo, TensorRT-LLM, or a similar inference framework.
• Experience running GPU workloads in production.
• Knowledge of inference techniques such as quantization, continuous batching, speculative decoding, prefix caching, chunked prefill, or LoRA serving.
• Experience with CUDA, Triton, TensorRT, or other GPU programming tools.
• Experience profiling and improving model latency, throughput, memory use, or GPU utilization.
• Experience with distributed inference, multi-GPU systems, scheduling, or autoscaling.
• Contributions to open-source ML, inference, or infrastructure projects.

Benefits

At Gcore, we want you to do your best work and enjoy the journey. Our benefits are designed to support your growth, well-being, and life beyond work:

• Competitive compensation
• Flexible working hours and hybrid or remote options, depending on your role
• Competitive compensation
• 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.

Equal Opportunity Employer

We provide equal opportunity to all applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity, gender expression, national origin, disability, or any other legally protected characteristics.