Lead Delivery Engineer

Virtualitics is a fast-growing, Caltech-born defense tech company (~120 people) dedicated to reversing
the decline in military readiness. Virtualitics builds AI-native readiness intelligence for the US and allied
nations’ defense sector. Our IRO application layer and Virtualitics AI Platform (VAIP) transform how
defense organizations act on maintenance, logistics, and global force management data. Our team is
actively refining agentic workflows, composable AI agents, and generative interfaces to replace static
dashboards with dynamic, conversational intelligence.

What You Will Do
● Lead technical decision-making across project and platform delivery.
● Architect robust, scalable applications using sound engineering principles, managing the
complete data lifecycle from acquisition to model inference and postprocessing.
● Tackle runtime performance and optimize data access patterns for highly responsive applications.
● Craft and manage dynamic dashboards using the Virtualitics AI Platform to transform complex
data into intuitive visuals.
● Collaborate across the delivery team (e.g. Product, Customer Success, DevOps, and QA) to align
engineering deliverables with strategic customer commitments.
● Drive execution of the product roadmap by removing bottlenecks, mitigating risks, and ensuring
on-time delivery of key milestones.
● Act as the primary technical escalation point to resolve delivery challenges and facilitate rapid
trade-off decisions.

● Clearance & Location: Must hold at least a U.S. Secret security clearance and be willing to
upgrade to a TS/SCI if needed. Must be willing and able to go onsite to the Mark Center up to and
including 5 days a week.
● Engineering Fundamentals: A degree in Computer Science or related field, or 5+ years of
software engineering experience. We target candidates with a strong background in software
engineering and production deployment, rather than strictly research-oriented backgrounds.
● AI & Systems: A proven track record of deploying software into production environments. Has
shipped production-grade AI / agentic systems.
● Full Stack & DevSecOps: Understands full stack software development, DevSecOps, and AI
systems holistically. Familiarity with Docker, Kubernetes, and Git.
● Data Ecosystem: Proficiency in Python with a solid understanding of the Python Data Stack
(pandas, NumPy, scikit-learn, PyTorch, Matplotlib, etc.). Experience working with a wide variety of
data (both structured and unstructured) from different sources.
● Culture & Values: Embody Virtualitics core values by bringing a positive attitude, fostering a
highly collaborative environment, and always being ready to "lean in" to tackle complex
challenges alongside the team.
Preferred Qualifications (Pluses)
● Has contributed to building engineering excellence and has top-tier engineering experience.
● Experience with big data technologies and frameworks (Spark, Databricks, Snowflake, etc.).