Senior LLM Inference Systems Engineer

Aimlroles

Bellevue (WA)

On-site

USD 180,000 - 270,000

Full time

14 days+

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Job summary

Snowflake is building the next generation of AI-native inference systems. We seek experienced researchers and systems developers to advance LLM inference, optimization, and platform-wide performance across GPUs, CPUs, and distributed runtimes.

You will collaborate with model researchers and infrastructure teams to push latency, throughput, and cost efficiency while enabling production-scale experiments and deployments.

Qualifications

  • Bachelor's degree in Computer Science, Electrical Engineering, or related field; Master’s/PhD preferred.
  • 5+ years in LLM inference systems, distributed AI systems, GPU systems, or HPC.
  • Strong understanding of modern LLM inference architectures and tradeoffs.
  • Hands-on experience with LLM inference and serving frameworks (e.g., vLLM, TensorRT-LLM).
  • Experience in scheduling, batching, KV-cache management, distributed execution, and disaggregated serving.
  • Strong knowledge of CUDA, Triton, and GPU programming environments.
  • Experience with Nsight tools for profiling and debugging.
  • Ability to work across model, runtime, distributed system, and hardware layers.
  • Experience with AI-native engineering to accelerate development and experimentation.
  • Excellent communication across research, engineering, and product teams.

Responsibilities

  • Design and develop high-performance LLM inference systems across distributed serving and runtime layers.
  • Create techniques to reduce latency and improve throughput, memory efficiency and scalability.
  • Explore adaptive and parallel inference techniques and model-system co-design.
  • Develop intelligent systems that auto-optimize execution for new models and hardware.
  • Collaborate with researchers, engineers, and product teams to deploy innovations in production.
  • Publish innovations via technical blogs and top-tier conferences.

Skills

LLM inference systems
Distributed AI systems
GPU systems
High-performance computing
Independent problem solving
Cross-team collaboration

Education

Bachelor's degree in Computer Science or Electrical Engineering
Master's degree or PhD preferred

Tools

vLLM
SGLang
TensorRT-LLM
CUDA
Triton
CUTLASS
cuBLAS
cuDNN
Nsight Systems
Nsight Compute

Job description

Snowflake is building the next generation of AI-native inference systems. We seek experienced researchers and systems developers to advance LLM inference, optimization, and platform-wide performance across GPUs, CPUs, and distributed runtimes.

You will collaborate with model researchers and infrastructure teams to push latency, throughput, and cost efficiency while enabling production-scale experiments and deployments.

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