LM Studio

Full-stack Engineer

• Lead development of the LM Studio Hub, lmstudio.ai, and future web surfaces.
• Design and build secure, fast, and reliable experiences across Next.js (with RSC), edge/server runtimes (Cloudflare Workers/Pages), data layers, and caching.
• Design databases and migrations; tune D1/SQL queries; design schema and indexes for reliability and performance.
• Build server actions and gateway functions; add typed KV caches.
• Ship UIs that feel instant and accessible; focus on product quality and polish.
• Apply networking and security knowledge (HTTP, TLS, WebSockets/SSE, proxies, CDNs, caching) to design resilient code.
• Debug performance, reliability, and security issues end-to-end.
• Work with CI/CD, testing, monitoring, and observability systems.
• Write design docs, participate in code reviews, and collaborate across the team.

Software Engineer, Web Platforms

Application Engineer

• Design, implement, maintain new features in LM Studio daemon and app
• Design, implement, maintain new public and internal APIs
• Extend, maintain, test LM Studio Core SDKs
• Implement, debug, test Node daemon-level code
• Implement, debug, test Node / Electron IPC code
• Implement, debug, test Node bindings (NAPI)
• Profile, debug, improve application rendering performance
• Profile, debug, improve process memory and CPU usage
• Be an excellent communicator, contributor, and collaborator

Senior Application Systems Engineer

Artificial Intelligence

• When people get a model running on their own machine, the next question often is, "Great, now what can I actually do with it?". This is where you come in.
• Local, on-device AI has clear advantages: privacy, offline availability, predictable cost, and data control for both home and business users. Your job will be to turn those advantages into concrete features: tool-using assistants, agentic RAG, document understanding, data analysis and manipulation, code assistants of various kinds, and anything else that makes local AI genuinely useful.
• The work spans applied research, rapid prototyping, systematic evaluation, and production engineering delivered to a large and enthusiastic user base worldwide.
• Push the boundaries of what’s possible with local AI by designing and implementing new features
• Identify and scope high-impact local AI use cases (RAG, document understanding, data analysis, code intelligence) and design end-to-end solutions
• Prototype algorithms quickly, run systematic evaluations, and promote successful approaches into LM Studio’s production codebase
• Survey recent papers and open-source work; adapt, implement, and benchmark promising ideas on consumer hardware
• Collaborate with app, systems, and API focused team members to ship reliable features to a rapidly growing user base and iterate based on real-world feedback
• Build automated test and benchmarking harnesses to track accuracy, latency, and memory across model versions and tasks

Applied AI

Product Manager

• Own the Sharing & Collaboration flows between the LM Studio app and the LM Studio Hub
• Work directly with the founder and CEO
• Focus on crafting the most productive and delightful creation, sharing, and collaboration experiences for teams and organizations using LM Studio
• You should be very comfortable with iterating and considering paths that may not pan out
• You’ve built and shipped products before, and you have a native sense for prioritization
• You need to be able to talk about the product in an extremely compelling way and have a deep intuitive understanding of and be attentive to what our users would care about

Product Lead

Product Designer

• Gameboy, Walkman, Nintendo, Napster, GarageBand, Netscape Navigator, Windows 95, OS X Leopard, Visual Basic, iTunes, DreamWeaver, Macromedia Flash, Photoshop, MS Paint, HTML, Xcode.
• If this vibes with you, please apply below to design LM Studio.