Lead Delivery Engineer

Lead Delivery Engineer (Secret Cleared, DMV)

About Virtualitics

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.

Core Requirements

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.).

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.