ModelVault - 3mo ago
Senior Software Engineer
$60,000 — 80,000
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ModelVault is building the world¡¯s first fully-integrated, on-prem AI appliance ¡ª a plug-and-play AI server preloaded with software, models, and tools that let businesses (and eventually consumers) run powerful AI models locally, privately, and securely.
We're looking for a Senior Software Engineer to help us build the core developer experience and control plane for our on-prem systems ¡ª everything from containerized runtime orchestration to local APIs, CLI tools, OTA update flows, and lightweight UIs. You'll be one of the first engineers on the team and play a foundational role in shaping our system architecture, tooling, and technical culture.
? What You¡¯ll Do
Design and build the software layer that makes ModelVault ¡°just work¡± ¡ª including:
Local APIs and system services
Developer-facing CLI tools
Simple admin web UI or dashboards
OTA update infrastructure
Wrap system-level functionality into intuitive interfaces for local users (e.g., ¡°start model,¡± ¡°view logs,¡± ¡°update software¡±)
Integrate and manage containerized LLMs and vision models (e.g. Llama 3, Mistral, SDXL) for local inference
Collaborate with our systems and hardware engineers to optimize performance across the full stack ¡ª from GPU runtimes to dev UX
Participate in architecture decisions related to system orchestration, hardware/software coordination, and secure update delivery
Interface directly with early users to gather feedback, debug edge cases, and iterate quickly
Contribute to hiring and scaling the engineering team over the next 12 months.
? You Might Be a Fit If You
Have 5+ years of software engineering experience ¡ª ideally in devtools, infra, or platform teams
Are comfortable working close to the system ¡ª building tools that wrap around Docker, shell scripts, or system services
Enjoy working across the stack ¡ª from lightweight frontend dashboards to backend APIs to scripting hardware operations
Have experience building interfaces for technical users (CLIs, admin panels, config systems)
Have worked with containerized environments and understand Docker, Compose, systemd, etc.
Like solving ambiguous technical problems with minimal abstraction ¡ª and high leverage
?? Bonus Points
Built tooling or platforms for AI workloads (e.g. inference runners, LLM wrappers, logging for local models)
Experience with GPU systems, Nvidia drivers, CUDA, or model performance tuning
Familiarity with update mechanisms (auto-updaters, patch delivery, rollback safety)
Past experience with embedded systems, local-first products, or edge computing
Help define a new category: secure, local AI for everyone ¡ª starting with businesses, expanding to the world
Work on real, shipped hardware + software that users will touch
Be part of the founding engineering team with high autonomy and deep ownership
Remote-first, async-friendly culture with deep focus and high velocity
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