Why Join Delphos Labs?

At Delphos Labs, you’ll work at the cutting edge of AI and cybersecurity. Every idea, experiment, and line of code contributes directly to innovations that could redefine how the world understands and secures software. We’re automating reverse engineering by using AI to analyze compiled software, understand its behavior, detect malicious patterns, and uncover vulnerabilities that traditional tools can’t see.

We’re a lean, high-impact team where every person helps shape both the technology and the company. We move quickly, value initiative, and give every team member visibility into their impact. This isn’t just another role; it’s a chance to get in from the ground up and push the boundaries of what’s possible in AI-powered software security.

Description

We’re building systems to collect massive datasets, train models, and host them for inference. As a Platform Engineer, you’ll develop infrastructure that supports millions of files, billions of vectors, and countless log messages left behind in code review.

What You'll Do:

• Infrastructure Development: Build robust systems for data storage, retrieval, and processing, all within our monorepo environment. Own the reliability and observability stack that keeps our ML and analysis pipelines fast, secure, and reliable.

• Resource Management: Optimize cloud infrastructure for cost efficiency, scalability, and performance across storage, compute, and networking layers. Build monitoring systems that balance performance and stability under mission-critical workloads.

• Security & Compliance Integration: Collaborate with Security Engineers to enforce best practices for data isolation, access control, and auditability. Support compliance alignment for RMF, SOC 2, and on-prem deployments without slowing down iteration speed and engineering agility.

• Improve developer experience: Remove friction, speed up iteration, and reduce cognitive load for other engineers by simplifying local development, automating the boring stuff, adding tools to solve pain points, and communicating best practices to the rest of the company. Help own code health throughout the company and engage proactively in efforts to regularly improve the codebase as a whole.

• ML & Data Operations: Design and manage end-to-end ML pipelines, from dataset ingestion and preprocessing to model training, validation, and deployment, ensuring the deployment of scalable and high-performance models. Partner with AI and Security Research teams to ensure that model artifacts are versioned, reproducible, and production-ready.

• Collaborative Engineering: Work closely with engineers to maintain the infrastructure that seamlessly integrates data feeds and manages the flow of meticulously labeled datasets across internal systems. Enable downstream users (AI, research, and platform teams) to access structured data securely and efficiently. Continuously improve developer experience for both internal engineers and external developer users by optimizing workflows, tooling, and data accessibility.

Who You Are:

• A forward-thinking engineer eager to set new standards in technology who enjoys building scalable systems and solving complex operational puzzles.

• Experienced with the latest in cloud technologies like Terraform, Kubernetes, AWS/GCP/Azure, and committed to sustainable, efficient solutions.

• Experienced in DevOps, MLOps, or large-scale data infrastructure, ideally with exposure to distributed training or vector databases.

• Thrive in a small, high-velocity team with autonomy and accountability.

• Excited about applying AI to solve real business problems and improve developer productivity.

• Cybersecurity experience is a bonus, but not required.

About Delphos Labs

We’re building AI-powered tools to help organizations understand and secure software they can’t see inside. Our technology brings automation and intelligence to binary analysis and reverse engineering—strengthening software integrity and trust across critical systems.

Our CEO, David Dubick, has worked at the CIA, Palantir, and Lookout Mobile Security before moving into venture capital and investing in cybersecurity companies. Our CTO, Caleb Fenton, a leading mobile reverse engineer and security researcher, was the AVP of Innovation at SentinelOne, where he led the development of several core AI and security projects.

We’re a fully remote team of just under 20 people, with individuals from Google, the FBI, Palo Alto Networks, Synack, NASA, Exabeam, and more. We’ve raised from top-tier investors, including Jon Sakoda (Decibel), George Hoyem (In-Q-Tel, the Intelligence Community’s VC arm), Bill Coughran (Sequoia), and Matt Ocko (Data Collective/DCVC).

What We Offer:

• Fully remote-first environment with in-person team offsites twice per year

• Competitive compensation with equity

• Comprehensive health benefits: medical, dental, and vision coverage; free One Medical annual membership

• 401(k) plan and Flexible Spending Account (FSA)

• 11 company holidays + unlimited PTO

• Home office stipend to support your remote workspace setup