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Staff Software Engineer

🌐 Remote💼 Full-time🗓 2026-06-25

Core

Architecting AI-powered inferencing appliances and driving technical vision for a next-generation edge software platform that transforms healthcare delivery.

Role type

Staff Software Engineer (Edge/IoT & AI Systems)

Builds

AI-powered inferencing appliances, edge software platform, and IoT sensor technology stack for healthcare.

Domain

Healthcare technology, Edge computing, IoT, AI inference.

Deliverable

production ML models | product features | infrastructure

Required skills

Go, Linux administration, networking, virtualization, containerization, Infrastructure as Code, Ansible, system-level security, defensive programming.

Preferred skills

Django, WebRTC, SIP protocols, RTP/RTSP, A/V streaming technologies.

Technologies

Go, Django, Ansible, Linux (Ubuntu), WebRTC, SIP, RTP, RTSP.

Responsibilities

Drive technical vision and strategy for the Edge software platform; Architect and implement solutions for OS provisioning and fleet maintenance; Integrate and deploy AI models onto inferencing appliances; Develop integrations with diverse hardware ecosystems; Contribute to codebase for system-level engineering and performance optimization; Mentor engineering talent.

Seniority

Staff, technical leadership & hands-on IC

Rewrite
## About the Role We're seeking a Staff Engineer to drive the technical vision for our next-generation edge software platform, architecting AI-powered inferencing appliances that transform healthcare delivery. You'll provide critical technical leadership while contributing hands-on expertise to our cutting-edge IoT sensor technology stack. This role is remote and requires U.S. work authorization. ## What You'll Do - Drive technical vision and strategy for our revolutionary Edge software platform that powers healthcare transformation - Architect and implement solutions for provisioning, customizing operating systems, and establishing fleet maintenance best practices across customer deployments - Perfect our WebRTC and SIP A/V stack to deliver exceptional experiences in challenging healthcare environments - Integrate and deploy AI models from our data science team onto inferencing appliances, bridging the gap between innovation and implementation - Develop seamless integrations with diverse hardware ecosystems including cameras, microphones, speakers, TVs, and specialized hospital equipment - Contribute directly to our technical codebase with focus on system-level engineering, performance optimization, and bulletproof reliability - Mentor engineering talent across teams while ensuring interoperability and cohesive technical direction ## What You Have - 10+ years professional software development experience building robust, scalable systems - 5+ years senior-level engineering or technical leadership experience in security-conscious domains like Fintech or Healthcare - Deep technical fluency across every aspect of a healthy SDLC, from conception to deployment - Mastery of modern software stack fundamentals: networking, virtualization, containerization, build pipelines, and Infrastructure as Code - Strong practical expertise in Go (required), modern application frameworks (Django preferred), and Linux administration (Ubuntu preferred) - Hands-on experience with configuration management tools like Ansible - Advanced knowledge of defensive programming and system-level security principles - Exceptional written and verbal communication skills for cross-functional collaboration ## Bonus Points For - Direct Linux development experience - WebRTC and modern A/V streaming technologies expertise - Knowledge of RTP/RTSP and SIP protocols ## Why You'll Enjoy This Role - **Impact**: Your technical leadership will directly shape healthcare systems worldwide, creating AI-powered solutions that improve patient outcomes and provider experiences - **Growth**: You'll work at the intersection of cutting-edge AI, IoT technology, and healthcare innovation while expanding your expertise across our full technical stack - **Team**: Collaborate with physicians, operational experts, AI scientists, and interdisciplinary engineering teams who share your passion for transforming healthcare through technology
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