Senior SW Engineer – AI Infrastructure & Optimization
Kraków, Małopolskie, PL
PLN 280K-383K (estimate) Senior-level Full Time
Tasks
- Build and optimize Kubernetes native GenAI inference systems
- Design and implement optimization algorithms
- Drive architectural decisions end to end
- Enhance deployment and operational maturity
- Implement distributed LLM inference frameworks
- Improve reliability and observability of AI systems
- Work with TensorRT-LLM for inference performance
- Work with vLLM and SGLang inference stacks
Perks/Benefits
- N/A
Skills/Tech-stack
CUDA | Cloud Platforms | Distributed Systems | GPU Performance | GPU Performance Optimization | Gateway API | GitOps | Go | Kubernetes | Llm-d | NCCL | Nvidia Dynamo | OpenTelemetry | Operators | Optimization Algorithms | Performance Engineering | Performance optimization | Profiling | Python | SGLang | Service Mesh | TensorRT-LLM | Triton | VLLM
Education
N/A
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