Company
Engineering
SystemsEngineer(C++)
Neural analysis suggests this role is
optimal for Mid candidates.
“Systems Engineer (C++). Skills: C++, Systems Software, Performance Optimization. Design, build, and optimize core native runtime. Work across runtime, LLM engines, integrations”
What You'll Achieve.
Make local AI fast and dependable; Ensure software is well architected and maintainable; Deliver cohesive and recognizable user experiences
Industry & Context.
Reason about performance; Reason about reliability; Reason about user experience
Onsite interview in New York office
What They're Looking For.
Must Have
4+ years building production C++ systems software across macOS or Linux, 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
Nice to Have
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
What You'll Do.
and optimize core native runtime
Wire C++ runtime to GPU backends
Integrate vendor SDKs
Integrate operating-system services
Implement system-level code
Integrate platform acceleration paths
Profile execution paths
Debug execution paths
Contribute to C++ runtime
Extend LLM engine integrations
Build platform-aware performance features
Implement resilient IPC
Implement resource management
Implement scheduling logic
Improve build infrastructure
Improve packaging infrastructure
Improve release infrastructure
How You'll Work.
Team & Collaboration
Collaborate with the rest of the team to deliver cohesive and recognizable user experiences
Full Job Description
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
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