Scale AI
AI Infrastructure Engineer, Sandbox Platform
About this role
Build and maintain a secure, high-performance sandboxing platform for agent code execution across containerized and virtualized environments. You'll balance deep systems expertise with developer experience, working closely with internal teams to debug issues and shape the product roadmap.
What you'll do
- Design and implement the sandboxing platform, client library, and API surface for secure code execution
- Ensure strong isolation, security, and reproducibility across user sessions and workloads
- Optimize cold-start latency, memory footprint, and resource utilization at scale
- Partner with internal teams to understand needs, debug issues, and build targeted tooling
- Respond to production incidents with root cause analysis and preventive fixes
- Lead architecture reviews and own projects end-to-end from design through deployment
What they're looking for
- Linux internals (process isolation, memory management, cgroups, namespaces)
- Containerization and virtualization (Docker, Firecracker, gVisor, QEMU, Kata Containers)
- Systems programming languages (Go, Rust, C/C++)
- API design and developer experience
- Performance optimization and debugging
- Kubernetes and infrastructure orchestration
- Production incident response and on-call experience
- Security in multi-tenant environments
Benefits
- Comprehensive health, dental, and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
- Equity compensation (for eligible roles)
- Commuter stipend (may be available)
Opens the official application on the employer’s site. No login required.
Scale AI
Scale AI builds a Generative AI Data Engine and ML infrastructure platforms that power LLM training, evaluation, and production serving at scale, along with data solutions for robotics and autonomous driving. The company is hiring Software Engineers for full-stack feature development and infrastructure systems, identity/security specialists for platform engineering, and Solutions Engineers to support enterprise clients and pre-sales processes.
- Website
- scale.com
Likely interview questions
- Walk us through your experience building or maintaining a developer-facing library or SDK. How did you approach API design and error handling?
- Tell us about a time you optimized a high-performance system for latency and resource utilization. What were the main bottlenecks?