LM Studio
LM Studio

Systems Engineer (C++)

$175,000 – $275,000 per year

TLDR

Build and optimize a cross-platform C++ runtime powering on-device AI, integrating LLM engines and GPU backends, with a focus on performance, reliability, and scalable APIs.

The Role

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. You will work across our runtime, LLM engines, llama.cpp/MLX integrations, build infrastructure, and the future of our on-device AI software. Your work centers on system and library integration: wiring our C++ runtime to GPU backends, vendor SDKs, and operating-system services to support user-facing applications. You will implement and harden system-level code (threading, memory, files, IPC, scheduling) and integrate platform acceleration paths (Metal, CUDA, Vulkan) across macOS, Windows, and Linux. You will profile, debug, and tune the execution paths that make local AI fast and dependable, and our software well architected and maintainable.

Responsibilities

  • Contribute to the C++ runtime that powers LM Studio

  • Extend our LLM engine integrations 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.

Benefits

  • Competitive salary and generous equity grants

  • Great medical, vision, dental healthcare plans

  • Catered team lunch / expensed dinners in the office

  • Flexible PTO

  • Flexible WFH

  • Sun drenched office in SoHo in Manhattan, NY

  • Access to cool powerful hardware of all kinds

Our Interview Process

We are looking for engineering excellence and strong values / cultural fit. If your application appears to be a good match we'll reach out to schedule an initial call. If all goes well, we will proceed to 2-3 technical interviews. The final step in the process is an onsite interview in our New York office, where you will work through several more technical sessions focused around system design and architecture, meet the team and see how we work.

Benefits

Equity Compensation

generous equity grants

Free Meals & Snacks

Catered team lunch / expensed dinners in the office

Health Insurance

Great medical, vision, dental healthcare plans

Access to powerful hardware

Access to cool powerful hardware of all kinds

Paid Time Off

Flexible PTO

Remote-Friendly

Flexible WFH

LM Studio enables users to run local AI models directly on their own hardware, ensuring privacy and control over data. Targeting both individual users and developers, it offers versatile deployment options including no-GUI installations for seamless integration across various platforms like Linux and cloud servers. What sets LM Studio apart is its focus on local execution of powerful LLMs, providing a robust alternative to cloud-based AI solutions.

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