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Blaxel

Blaxel

San Francisco, CA

Perpetual sandbox platform for AI agents

About

Blaxel builds a cloud platform with persistent sandboxes that suspend idle AI agent compute environments and resume in 25ms with full state preserved, eliminating cold starts. It serves AI developers needing secure, low-latency code execution at scale. This enables reliable agentic workloads without traditional cloud limitations like ephemeral instances or network overhead.

Tech stack

Rust, VPP, DPDK, eBPF, XDP, Go, Python, Kubernetes, AWS, GCP, Linux, TypeScript, Node, Docker, Azure, Prometheus, Grafana, Datadog, Terraform, Pulumi

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Open jobs

4
Developer Relations 1
DevOps / SRE 1
Product Design 1
Solutions Architecture 1
Blaxel

Blaxel

San Francisco, CA

Developer Relations
$140k+/yrOn-siteDeveloper Relations

Founding Developer Relations role owning end-to-end developer experience for Blaxel's AI platform. Write deep-dive technical content, own docs and tutorials, grow Discord community, speak at events, and build AI-powered systems to drive adoption. Requires strong builder mindset, technical depth in AI infra, and autonomous execution.

Blaxel

Blaxel

San Francisco, CA

Fullstack Design Engineer
$140k+/yrOn-siteProduct Design

Founding Design Engineer to own product design end-to-end at Blaxel, from concept through production code. Must ship polished UIs using AI tools and front-end skills (TypeScript, React, CSS).

Blaxel

Blaxel

San Francisco, CA

Forward Deployed Engineer (FDE)
$150k+/yrOn-siteSolutions Architecture

Forward Deployed Engineer works directly with strategic customers to deploy AI agent infrastructure, leading technical discovery, building integrations on platform APIs and customer infra, and ensuring deployment success while feeding insights back to product teams. Requires strong systems engineering skills in cloud, containers, and production code.

Blaxel

Blaxel

San Francisco, CA

Site Reliability Engineer
$175k+/yrOn-site3+ YOEDevOps / SRE

Builds and operates reliable, scalable AI infrastructure including observability, SLOs, incident response, automation, and performance tuning for ultra-low-latency serverless compute. Requires 3+ years SRE/DevOps experience with cloud, Kubernetes, programming (Go/Rust/Python), and observability tools.