This position is available only under an employment (labor) agreement.
The world’s digital experiences run on something invisible: the infrastructure and software that keep them fast, reliable, and secure. At Gcore, you’ll help design and deliver that foundation for an AI-driven world.
We’re a global provider of infrastructure and software solutions for AI, cloud, network, and security, powering everything from real-time communication and streaming to enterprise AI and secure web applications. With 210+ edge locations, 50+ cloud regions, and thousands of GPUs, your work here can reach users and businesses across the globe.
You’ll collaborate with leading technology partners such as Intel, NVIDIA, Dell, and Equinix, and work on platforms that power digital products used around the world. Our vision is simple: to connect the world to AI, anywhere, anytime.
Want to work on technology that goes beyond a single product or industry? Join a global team of 550+ professionals building infrastructure and software that supports the entire digital ecosystem.
We are currently looking for a Python Inference Engineer to join our Edge Cloud&AI Team.
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.
Skills Required
- 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 developer experience mindset
- Genuine interest in inference engineering
- Good communication and collaboration skills
- Experience with vLLM, SGLang, NVIDIA Dynamo, TensorRT-LLM, or a similar inference framework
- Experience running GPU workloads in production
- Knowledge of 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
What We Do
Powerful edge and cloud solutions for media business and the entertainment industry
