Full Stack Software Engineer, Generalist

Scout AISunnyvale, CA
22h

About The Position

The future of defense will be decided by those who field intelligent machines at scale. At Scout, 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. It’s not just a leap in autonomy, it’s a force multiplier built for real-world conflict. 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.

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.
  • Legal authorization to work in the United States is required. Certain job duties may involve access to U.S. export-controlled information

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 base salary and bonus
  • Meaningful equity
  • 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)
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