As the platform security engineer, you'll help shape Applied Compute's security posture as we scale. We train custom models on the most sensitive thing our F500 customers have — their proprietary workflows, institutional knowledge, and production data — and we deploy autonomous agents back into those environments. Our customers rely on us being uncompromising about how we handle their data, credentials, and execution boundaries. We've built strong foundations to earn that trust and we're investing heavily in the people and systems to take it to the next level.
This role demands a security practitioner who thinks like an attacker, builds like an engineer, and has the judgment to know where to invest. You'll partner closely with infrastructure, product, and applied research engineers to make security a first-class concern from design through deployment. You'll also help us pioneer what AI-native defense looks like — using our own agent stack to detect, investigate, and pre-empt threats at machine speed. We're building security to defend against the strongest attackers with access to the most capable LLMs.
What you'll do
What we're looking for
Strong candidates also have
The U.S. base salary range for this full-time position is $190,000–$310,000. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a comprehensive benefits package designed to support you both personally and professionally. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted.
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.
This role is based in San Francisco. We work from our office in the Mission. We offer:
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.
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