The role

As an infrastructure engineer, you'll build the foundational deployments that everything else runs on. You'll own the systems that make Applied Compute's Agent Cloud reliable, secure, and deployable into enterprise environments: sandboxed execution environments, orchestration infrastructure, networking and security middleware, data connectors, and the deployment machinery that provisions our systems into customer VPCs. This is the layer that turns a collection of applications and models into a production-grade enterprise platform.

What you'll do

• Build the agent sandboxing system: secure, isolated, and rich execution environments using microVMs and container orchestration

• Own the orchestration layer that coordinates agent sessions, LLM pipelines, and background learning jobs

• Design and implement the authentication, authorization, and audit logging middleware at the boundary between Applied Compute and customer environments

• Build the integration layer that connects agents to tools, external APIs, and MCP servers across applications

• Architect the data layer across OLAP, OLTP, and blob data stores, and build mechanisms that keep them coherent

• Develop the deployment and provisioning infrastructure (CLI, container registry, resource management) for engineers to ship and manage customer deployments

• Ensure the platform meets enterprise security, networking, and compliance requirements across diverse customer cloud environments (AWS, Azure, GCP)

What we're looking for

• Deep systems engineering experience: containers, orchestration, networking, security, and distributed systems

• Experience building and operating infrastructure that runs in customer environments (on-prem, VPC, or hybrid cloud)

• Strong understanding of security fundamentals: sandboxing, isolation, identity management, secrets handling, audit logging

• Comfort with infrastructure-as-code, CI/CD, Kubernetes, and modern deployment tooling

• Ability to reason about system reliability, fault tolerance, and operational concerns at scale

Strong candidates also have

• Experience with microVM or container isolation technologies (Firecracker, gVisor, Kata Containers)

• Background with workflow orchestration systems (Temporal, Cadence, or similar)

• Experience building multi-tenant platforms deployed into enterprise environments

• Familiarity with WebRTC, browser automation (CDP), or remote desktop streaming

• Background with ML infrastructure: GPU scheduling, model serving, training pipelines

• Previous experience as a founder or early engineer at a zero-to-one company

About us

Applied Compute builds Specific Intelligence for the enterprise. We provide the continual learning infrastructure for companies to build agent workforces trained on proprietary data and institutional expertise. Our researchers and platform embed directly within customer environments to build custom evals, train models, and deploy agents that get better with use.

• Why we’re excited: We get to work at a rare intersection. Our product team builds the platform powering a new generation of digital coworkers. Our research team pushes the frontier of post-training and reinforcement learning. Our applied AI team sits side-by-side with customers as they ship agents into production. This combination of strong product, deep research, and boots on the ground is what we believe it takes to bring AI to the enterprise. We are product-led, research-enabled, and forward-deployed.

• Who we are: We’re a team of engineers, researchers, and operators. Many of us are former founders. We've built RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, Watershed, and others. We work with F50 customers and are fortunate to be backed by partners like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.

• Who Thrives Here: We're looking for people who are excited about applying novel research and complex systems to real-world problems. Our team genuinely enjoys working with customers: listening, empathizing, and understanding how work actually gets done in their organizations. Former founders, people who've built a lot of side projects, or anyone who's shown they can own something end-to-end, tend to do well here.

Benefits & Logistics

This role is based in San Francisco. We work from our office in the Mission. We offer:

• Competitive compensation and equity

• Generous health benefits

• Unlimited PTO

• Paid parental leave

• Daily lunches and dinners

• Transportation and relocation support

• Retirement plans

We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the process with you. We encourage you to apply even if you do not believe you meet every single qualification. As set forth in Applied Compute’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.