[Hiring] C++ Systems Engineer @Lm Studio

Role Description

We are hiring a C++ Systems Software Engineer in New York City. You design, build, and optimize the core native runtime that powers LM Studio and the C++ libraries powering the app and our APIs.

• Work across our runtime, LLM engines, llama.cpp integrations, build infrastructure, and the future of our on-device AI software.
• Implement and harden system-level code (threading, memory, files, IPC, scheduling).
• Integrate platform acceleration paths (Metal, CUDA, Vulkan) across macOS, Windows, and Linux.
• Profile, debug, and tune the execution paths that make local AI fast and dependable.
• Ensure our software is well architected and maintainable.

Responsibilities

• Contribute to the C++ runtime that powers LM Studio.
• Extend our LLM engine integrations (including llama.cpp) and build platform-aware performance features for desktop operating systems.
• Implement resilient IPC, resource management, and scheduling logic to support concurrent model execution.
• Improve our build, packaging, and release infrastructure for native components.
• Collaborate with the rest of the team to deliver cohesive and recognizable user experiences.

Qualifications

• 4+ years building production C++ systems software across macOS or Linux.
• Thinks in systems and knows how to reason about performance, reliability, and user experience end-to-end.
• Proven maturity designing internal and external APIs that are ergonomic, maintainable, and stable over time.
• C++11 (or newer) expertise with RAII as a default mindset and modern language/library proficiency.
• Deep knowledge of concurrency, memory management, file systems, and network protocols.
• Experience optimizing performance with profilers, tracing, and hardware counters.