---
title: 'Full Stack Software Engineer at LM Studio'
canonical: 'https://feeny.ai/job/full-stack-software-engineer-lm-studio-new-york-hswhkeskpnen'
type: 'job'
last_seen: '2026-09-10'
---

# Full Stack Software Engineer at LM Studio

- **Company:** LM Studio
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-26
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/lm-studio/0a18f160-9671-43d0-91a3-f3d132db256f

## Job description

LM Studio is used by millions of people around the world to run AI on their own computers, and now with Bionic - also in the cloud. Our values prioritize putting the human in the center, and creating tools that we want to use ourselves, and recommend to our friends and family. As a team, we work with high technical intensity and personal responsibility. We are looking for curious, self-motivated, creative, and technically excellent teammates to join us and build the future of human-AI interactions in software.

## The Role

We are looking for a Full Stack Software Engineer with broad experience and deep technical fundamentals. You will work across our web platforms, API backend, SDK, and desktop app. On a given project, you might build a React interface, design the API and data model behind it, debug network behavior between the app and a service, and determine how the system should operate under real load. You should understand the systems beneath your code: browsers and servers, databases and transactions, HTTP and TCP, concurrency and failure, and the constraints of serverless execution. You should be comfortable moving down the stack when necessary without losing sight of the finished product.

## Qualifications

- Significant experience building and operating production software across frontend and backend systems
- Excellent TypeScript and React fundamentals
- Strong understanding of APIs, SQL, relational databases, and data modeling
- Solid networking fundamentals, including TCP, HTTP, WebSockets, and streaming
- Understands how systems scale and the tradeoffs involved in serverless and distributed environments
- Able to investigate problems across the client, network, service, and database layers
- Takes personal responsibility for the quality, reliability, and performance of their work
- Deep interest in AI, developer tools, and open-weight models

## Responsibilities

- Build features across LM Studio's web platforms, API backend, SDK, and desktop app
- Design user experiences together with the services, data models, and protocols that support them
- Build systems that remain fast and reliable as usage grows
- Diagnose and fix problems wherever they occur in the stack
- Make technical decisions, explain the tradeoffs, and remain responsible for the result

## Benefits

- Competitive salary and 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 NYC

## About LM Studio

## Company Overview
- **One-liner**: LM Studio provides a local AI toolkit that enables users to discover, download, and run open-source large language models (LLMs) on their own hardware, entirely offline.
- **Entity Type**: Private (Venture-backed, Unattributed VC)
- **Headquarters**: Brooklyn, New York, United States
- **Founded**: 2023
- **Founders**: Yagil Burowski

## Core Business
- **Primary industry**: Artificial Intelligence / Developer Tools
- **Target customers**: B2B and B2C; individual developers, data scientists, and enterprises seeking private, local AI inference.
- **Mission or purpose statement**: To make local AI models more accessible and allow users to run LLMs on their own hardware, privately and for free.

## Products & Services
- **LM Studio Desktop App**: The core product, a free desktop application for macOS, Windows, and Linux that allows users to discover, download, and run open-source LLMs locally. Features include chatting with documents, a built-in API server, and support for agentic tool calling. [lmstudio.ai](https://lmstudio.ai/)
- **LM Studio Enterprise**: A paid offering for organizations that need to deploy local AI at scale, with additional management and security features. [lmstudio.ai](https://lmstudio.ai/enterprise)
- **LM Link**: A service launched in partnership with Tailscale that allows users to access their local models remotely from anywhere, with end-to-end encryption. [linkedin.com](https://www.linkedin.com/company/lmstudio-ai)
- **SDKs & CLI**: Developer tools including `lmstudio-js` (JavaScript SDK), `lmstudio-python` (Python SDK), and `lms` (CLI) for integrating LM Studio into applications and workflows. [lmstudio.ai](https://lmstudio.ai/)
- **llmster (Headless Deployment)**: A no-GUI version of LM Studio's core for deploying on servers, cloud instances, or in CI/CD pipelines. [lmstudio.ai](https://lmstudio.ai/)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total funding of **$19.32M** raised as of a venture round in June 2025. [cbinsights.com](https://www.cbinsights.com/company/lm-studio)
- **Notable Investors/Partners**: FirstMark Capital, Matrix Partners, Torch Capital, Preston-Werner Ventures. [cbinsights.com](https://www.cbinsights.com/company/lm-studio)
- **Growth Signals**: The company has grown headcount by **+100% YoY** to 12 employees. Website traffic has grown **+187.9% yearly**. The company has formed key partnerships with Tailscale (for LM Link) and was featured in Apple's M5 announcement. [linkedin.com](https://www.linkedin.com/company/lmstudio-ai)

## Competitive Advantages
- **Privacy-First Local Inference**: Unlike cloud-based AI services, LM Studio runs entirely on the user's hardware, ensuring data never leaves the machine. This is a critical differentiator for privacy-conscious enterprises and developers.
- **Broad Model Support**: Supports a wide range of open-source model formats (GGUF, MLX) and architectures, making it a versatile hub for the open-source LLM ecosystem.
- **Cross-Platform & Apple Silicon Optimization**: Deeply optimized for Apple Silicon (MLX) and NVIDIA GPUs (CUDA), providing strong performance on consumer hardware. The company was featured in Apple's M5 announcement. [linkedin.com](https://www.linkedin.com/company/lmstudio-ai)
- **Developer-First Ecosystem**: Offers a comprehensive suite of developer tools (SDKs, CLI, REST API) and supports industry standards like OpenAI's API format, making it easy to integrate into existing workflows.

## Strategic Focus
- **Headless & Enterprise Expansion**: The launch of `llmster` (headless deployment) and the Enterprise tier signals a push beyond individual developers into server and enterprise markets. [lmstudio.ai](https://lmstudio.ai/)
- **Remote Access & Networking**: The LM Link partnership with Tailscale aims to make local models accessible from anywhere, bridging the gap between local privacy and remote convenience. [linkedin.com](https://www.linkedin.com/company/lmstudio-ai)
- **Ecosystem & Partnerships**: Deepening integrations with major AI players (Google DeepMind, NVIDIA, OpenAI) and hardware partners (Apple, NVIDIA DGX) to remain the go-to local inference platform. [linkedin.com](https://www.linkedin.com/company/lmstudio-ai)

## Why Work Here
- **High-Impact, Small Team**: With only 12 employees, new hires will have significant ownership and influence over the product and direction. The team is growing rapidly (+100% YoY). [linkedin.com](https://www.linkedin.com/company/lmstudio-ai)
- **Cutting-Edge AI Work**: The engineering team works directly on the frontier of local AI, contributing to open-source projects like `llama.cpp`, `mlx-lm`, and `mlx-engine`. [lmstudio.ai](https://www.lmstudio.ai/careers)
- **Global & Remote-Friendly**: While headquartered in Brooklyn, NY, the company has team members in Uruguay and Turkey, suggesting a remote or hybrid-friendly culture. [linkedin.com](https://www.linkedin.com/company/lmstudio-ai)
- **Open Source Culture**: The company actively contributes to and builds on open-source AI infrastructure, making it an attractive place for engineers who value transparency and community.
- **Current Open Roles**: As of the latest data, LM Studio is hiring for a **Frontend Software Engineer** and a **Systems Engineer (C++)**, indicating a focus on both the user-facing app and the core AI runtime. [linkedin.com](https://www.linkedin.com/company/lmstudio-ai)

## Sources
1. [lmstudio.ai](https://lmstudio.ai/)
2. [lmstudio.ai/careers](https://www.lmstudio.ai/careers)
3. [cbinsights.com](https://www.cbinsights.com/company/lm-studio)
4. [linkedin.com](https://www.linkedin.com/company/lmstudio-ai)
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/lm-studio)

## Other roles at LM Studio

- [Software Engineer, Inference Runtime](https://feeny.ai/job/software-engineer-inference-runtime-lm-studio-new-york-4sp2mefb88j5) — New York, NY
- [Software Engineer, Agent Harness](https://feeny.ai/job/software-engineer-agent-harness-lm-studio-new-york-fjvw9gwp8djy) — New York, NY
- [GTM, Enterprise](https://feeny.ai/job/gtm-enterprise-lm-studio-new-york-g4p593zmzqbq) — New York, NY
- [Software Engineer, Application](https://feeny.ai/job/software-engineer-application-lm-studio-new-york-nsj36x3yeen1) — New York, NY
- [Full Stack Software Engineer](https://feeny.ai/job/full-stack-software-engineer-spacex-bastrop-n75e0act3wmn) — Bastrop, TX
- [Full Stack Software Engineer](https://feeny.ai/job/full-stack-software-engineer-drivemode-mountain-view-ev3w7ffwj7st) — Mountain View, CA
- [Full Stack Software Engineer](https://feeny.ai/job/full-stack-software-engineer-spacex-hawthorne-kg3fxapazfgd) — Hawthorne, CA
- [Full Stack Software Engineer](https://feeny.ai/job/full-stack-software-engineer-faculty-london-czxqccttb608) — London, United Kingdom
- [Full Stack Software Engineer](https://feeny.ai/job/full-stack-software-engineer-unframe-tel-aviv-yafo-earyrtz584kg) — Tel Aviv-Yafo, Israel
- [Full Stack Software Engineer](https://feeny.ai/job/full-stack-software-engineer-mariana-minerals-san-francisco-tdera62xv3p5) — San Francisco, CA