Jobs · Engineering

Software Engineer, Inference Runtime

EngRadar · New York, NY · 2 mo ago
Engineering$150k–$350k/yrFull-time

LM Studio builds on-device AI software allowing users to run large language models locally on their own hardware. Remote or based in our sun-drenched SoHo, NYC office.

About the role

We are looking for an Inference Runtime Software Engineer to push forward LM Studio's inference stack on-device and in the cloud. You will integrate new inference engines and runtime capabilities, bring up new open-weight models and modalities, and optimize model execution for a wide range of CPU and GPU targets. You will also contribute improvements to the open-source projects we build on.

Responsibilities

  • Maintain and push forward our inference stack on-device and in the cloud
  • Bring up new model architectures and multimodal models
  • Improve latency, throughput, memory use, and reliability across CPU, CUDA, Metal, Vulkan, and ROCm runtimes
  • Build runtime capabilities for model loading, batching, scheduling, caching, and distributed execution
  • Benchmark and diagnose correctness and performance problems across the inference stack
  • Contribute upstream to open-source projects such as llama.cpp and MLX

Qualifications

  • Significant experience building production ML systems, inference runtimes, or performance-sensitive infrastructure
  • Strong programming ability in Python and C++
  • Deep understanding of transformer architectures and the mechanics of model inference
  • Experience profiling CPU or GPU workloads and reasoning about compute, memory, synchronization, and data movement
  • Experience with PyTorch and inference systems such as llama.cpp, MLX, ExecuTorch, vLLM, SGLang, or TensorRT-LLM
  • Strong debugging instincts across model code, runtime internals, operating systems, and CPU or GPU execution
  • Takes personal responsibility for the correctness and performance of their work

Bonus Qualifications

  • Past contributions to open-source inference runtime projects such as llama.cpp, MLX, ExecuTorch, vLLM, SGLang, or TensorRT-LLM

Benefits

  • Competitive salary and equity grants
  • Great medical, vision, dental healthcare plans
  • Catered team lunch / expensed dinners in the office
  • Flexible PTO
  • Flexible WFH

Pay

$150k–$350k

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