
Expert Inference Architect
3 days ago
Transform Your Career in Cloud Computing
Are you looking for a challenging opportunity to drive innovation and simplicity in cloud computing? Do you thrive in fast-paced environments and have a passion for making a difference?
About the Role:
- Design and implement distributed inference platforms for optimized model serving.
- Optimize runtime and infrastructure layers for best model performance.
- Develop novel techniques for serving custom models and scale the platform globally.
- Contribute to open source inference engines to improve their performance on DigitalOcean cloud.
- Build tooling and observability for system health monitoring and auto-tuning capabilities.
- Develop benchmarking frameworks for model serving performance testing.
- Mentor engineers on inference systems, GPU infrastructure, and distributed inference best practices.
Requirements:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field.
- Experience building distributed systems with Kubernetes, gRPC, Go, Python.
- Experience with GPU programming using CUDA, ROCm.
- Knowledge of L3-L7 network protocols, block storage, object storage.
- Proven track record defining and achieving performance KPIs (latency, throughput, cost).
Preferred Qualifications:
- Experience with one or more inference engines: vLLM, SGLang, Modular.
- Familiarity with one or more distributed inference serving frameworks - llm-d, NVIDIA dynamo, Ray Serve.
- Knowledge of distributed inference optimization techniques - tensor/data parallelism, KV cache optimizations, smart routing.
- Familiarity with common LLM architectures and inference optimization techniques.
- Experience with GPU Interconnect technologies like NVlink, XGMI, RoCE.
- Open source contributions to inference libraries, frameworks, model kernels.
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