Senior System Software Engineer - AI Inference Platform

NVIDIA

Santa Clara (CA)

Hybrid

USD 272,000 - 431,250

Full time

14 days+

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Job summary

NVIDIA is seeking a Senior System Software Engineer to join the Dynamo team, building a Generative AI inference platform on GPU-accelerated hardware. You will contribute to open source components that power inference of trained AI models and advance disaggregated serving for Dynamo-supported engines and agentic workloads.

The role emphasizes high-performance software design, memory and cache optimization, and stateful, multi-turn execution across heterogeneous memory hierarchies.

Qualifications

  • Masters or PhD or equivalent experience.
  • 10+ years in Computer Science, Computer Engineering, or related field.
  • Ability to work in a fast-paced, agile team environment.
  • Excellent Rust/Python programming and software design skills, including debugging, performance analysis, and test design.
  • Understanding of modern LLM API semantics, including structured outputs, tool calling, reasoning controls, token accounting, context management, and multimodal inputs.

Responsibilities

  • Develop open source software to serve inference of trained AI models running on GPUs.
  • Contribute to the development of disaggregated serving for Dynamo-supported inference engines and expand capabilities for agentic inference workloads.
  • Innovate in inference-state management across memory and storage hierarchies to improve latency and throughput.
  • Build and evolve Dynamo’s distributed inference frontend with model support and API compatibility.
  • Balance and optimize robust, scalable software components for distributed inference workloads.

Skills

Rust/Python programming
LLM API semantics
10+ years experience
Agile teamwork
Open source software development

Education

Masters or PhD or equivalent

Tools

vLLM
TensorRT-LLM
SGLang

Job description

NVIDIA is seeking a Senior System Software Engineer to join the Dynamo team, building a Generative AI inference platform on GPU-accelerated hardware. You will contribute to open source components that power inference of trained AI models and advance disaggregated serving for Dynamo-supported engines and agentic workloads.

The role emphasizes high-performance software design, memory and cache optimization, and stateful, multi-turn execution across heterogeneous memory hierarchies.

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