Full Stack Software Engineer

Scout AI • Sunnyvale, CA

36d • Hybrid

About The Position

The future of defense will be decided by those who field intelligent machines at scale. At Scout AI, we’re developing Fury, the first robotic foundation model for defense, to give U.S. forces overwhelming, adaptable, and autonomous power across every domain. Fury enables human operators to command fleets of robots through natural language, and empowers those machines to sense, decide, and act together as one. This mission will ask everything of us: urgency, precision, and relentless work.
The Role
We’re looking for a Full-Stack Software Generalist who enjoys working across the entire product surface: backend systems, frontend experiences, infrastructure, and AI-powered features. This role is ideal for someone who thrives in early-stage environments and likes shipping end-to-end features rather than owning just one narrow area.
You’ll work closely with product, design, and research to build reliable, scalable, and user-focused software.
Your work will run on robots in complex, adversarial environments. Expect to move fast, test ideas aggressively, and break new ground as we create the first robotic foundation model for defense.
We’re a startup. You’ll be moving fast, context-switching daily, and helping define the culture and process as we go. This is a rare opportunity to come in early and architect the future of defense.
Scout AI prefers in-office work but will consider hybrid or remote arrangements for key contributors.

Requirements

• 2-5 years of full-stack engineering experience (startup or high-ownership environment preferred).
• Proficiency with modern frontend frameworks (e.g., React, Next.js, or similar).
• Experience building backend systems (Node.js, Python, Go, or similar).
• Solid understanding of databases, APIs, and distributed systems.
• Experience shipping production software end-to-end.
• Comfortable working across unfamiliar parts of the stack.
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

Nice To Haves

• Experience integrating LLMs or AI APIs into applications.
• Experience with cloud platforms (AWS, GCP, or Azure).
• DevOps or infrastructure experience (Docker, Kubernetes, CI/CD).
• Startup or early-stage company experience.
• Data engineering or analytics pipeline experience.
• Experience optimizing performance at scale.

Responsibilities

• Build and ship full-stack features from concept to production.
• Design and implement scalable backend services and APIs.
• Develop intuitive, high-performance frontend applications.
• Integrate AI/ML capabilities into real user workflows.
• Improve system architecture, reliability, and developer experience.
• Work directly with users and stakeholders to refine product direction.
• Contribute to infrastructure, deployment pipelines, and monitoring.
• Help shape engineering culture, processes, and technical standards.

Benefits

• Competitive compensation package including base salary and bonus.
• Generous equity participation in company growth.
• Premium medical, dental, and vision plans with $0 paycheck contribution
• Competitive PTO and company holiday calendar
• Catered lunch daily and fully stocked kitchen
• EV charging
• Relocation assistance (depending on role eligibility)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed