Senior SW Engineer – AI Infrastructure & Optimization

Location: Town of Poland

## Senior SW Engineer – AI Infrastructure & Optimization Poland
· Full-time#### About The Position We are looking for a Senior Software Engineer to help build and optimize large-scale, high-performance GenAI infrastructure and inference systems on Kubernetes.

As AI workloads increasingly move toward Kubernetes-native infrastructure, we are building systems that support distributed inference, performance optimization, reliability, observability, and production-grade deployment s role is ideal for an engineer who can reason deeply about systems, performance, tradeoffs, and reliability, and who is comfortable owning difficult technical decisions end-to-end.

You will work across inference serving, distributed systems, optimization, and Kubernetes-native AI infrastructure.
** What You’ll Do
*** Build and optimize high-performance Kubernetes-native GenAI inference systems
* Work with modern inference stacks such as vLLM, SGLang, TensorRT-LLM, and related tooling
* Work with Kubernetes-native distributed LLM inference frameworks such as llm-d and NVIDIA Dynamo
* Design and implement optimization algorithms and performance improvements
* Improve reliability, observability, deployment, and operational maturity of AI systems
* Make architectural decisions and take ownership of technical outcomes
* Collaborate with a small, senior engineering team focused on performance and production quality#### Requirements
** Required Qualifications**
* ** Minimum 5 years of experience as a Software Engineer, with strong software engineering and system design skills**.
* Programming experience in Go and Python
* Hands-on experience with the Kubernetes ecosystem, including Operators, service meshes, Git Ops, Gateway API, and Open Telemetry
* Experience with cloud platforms
* Strong understanding of optimization algorithms and performance engineering
* Ability to independently drive technical initiatives from concept to production
* Strong systems thinking and debugging skills
* Comfort operating in environments with high autonomy and responsibility
** Nice to Have
*** Experience with modern LLM inference frameworks such as vLLM, SGLang, or TensorRT-LLM
* Experience with distributed LLM inference frameworks such as llm-d or NVIDIA Dynamo
* Contributions to open-source Kubernetes or ML infrastructure projects
* GPU performance optimization and profiling experience
* Familiarity with CUDA, NCCL, or Triton kernels
* Experience running GenAI systems at scale in production#### Apply for this position
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