uRun

We build the stage, not the show. We're an infrastructure company, a developer-tools company, and a production partner for model labs, and focus is a deliberate choice we've made and hold to. Day-to-day, that means a small team, a high bar, and real ownership. You won't wait for permission or inherit a backlog of someone else's decisions. In a founding security role, the function is what you make it. It also means ambiguity: priorities shift, not everything is documented. You'll often be the person who decides what "secure enough, for now" means.

Founding Engineer - Platform

Location

United States

Posted

5 days ago

Salary

$250K - $350K / year

Seniority

Mid Level

Job Description

Founding Engineer - Platform

uRun

Role Description You'll design and own the scalable, low-latency infrastructure that powers uRun's real-time inference runtime, the platform that makes live, interactive, multi-user AI workloads possible. - This is not classic ops or cloud management; you'll be deep in the AI runtime itself. - Latency, frame rate, and interactive quality of service are first-class platform properties. - The workloads are GPU-constrained, memory-bound, and bursty. - You will often write platform features, custom controllers, and scaling logic. - You will report directly to our founder, Keegan McCallum, and set the technical direction for the engineering organization. Qualifications - 7+ years as an engineer, with a proven track record architecting and owning large-scale production systems. - Deep Kubernetes expertise, including GPU-heavy clusters (NVIDIA tooling, autoscaling on GPU nodes) and service-mesh patterns. - Strong cloud and infrastructure-as-code experience: AWS, GCP, or Azure; Terraform, Pulumi, or equivalent; networking and security (VPC, IAM, API-gateway-style routing). - SRE-style thinking and observability depth: Prometheus/Grafana, OpenTelemetry, distributed tracing, SLOs, incident response, and post-mortems. - Proficiency in at least one of Python, Go, or TypeScript/Node.js for platform tooling, automation, and glue code. - Experience with streaming or real-time systems: WebRTC, low-latency video pipelines, or comparable latency-sensitive workloads. - A track record of mentoring engineers and influencing cross-functional teams. Requirements - Hands-on experience with GPU-constrained, memory-bound, or bursty workloads. - Experience writing custom Kubernetes controllers, scaling logic, or other platform features in-house. - Early-stage startup experience: owning ambiguous problems end-to-end and setting technical direction with limited scaffolding. Benefits - Competitive salary and meaningful equity in an early-stage AI infrastructure company. - Health, dental, and vision — full coverage. - 401(k) — company-supported retirement savings. - FSA/HSA — flexible spending accounts for healthcare costs. - Paid time off — we trust you to manage your time. - Top-tier tooling — access to the best AI tools available: Claude, Codex, Kimi, and whatever else helps you move faster. - MacBook Pro and AirPods — the hardware you need, on us. Company Description We build the stage, not the show. We're an infrastructure company, a developer-tools company, and a production partner for model labs, and focus is a deliberate choice we've made and hold to. - Day-to-day, that means a small team, a high bar, and real ownership. - You won't wait for permission or inherit a backlog of someone else's decisions. - In a founding security role, the function is what you make it. - It also means ambiguity: priorities shift, not everything is documented. - You'll often be the person who decides what "secure enough, for now" means.

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