T
San Diego, California, United States· Full-time· Remote
$172K – $195K/yr
● Strong current hiring demand for this role
PythonSQLFinance
SA
Active1w ago
Senior Software Engineer, Frontend Platform
Pay vs market · Bottom quarter
This job's pay ($185,000 a year at the midpoint) is higher than about 25% of 908 salary-listed Senior Software Engineer jobs in United States in the last 12 months; their median is $206,500.
Role overview
Job description
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
About Shield AI:
Shield AI is a defense technology company with the mission of protecting service members and civilians with intelligent systems. We build autonomy systems for air, maritime, space, and other platforms operating in complex and contested environments.
Forge is the engineering platform used to build, integrate, test, and operate Hivemind capabilities. It connects autonomy developers with the applications, services, compute, data, and workflows they need to move from local development to deployed systems.
Job Description:
We are looking for a full-stack engineer interested in customer-facing products, developer tools, and AI-assisted workflows. You will partner with internal subject-matter experts to build an extensible application platform and complete applications on it.
Shield AI’s Hivemind developers are the platform’s primary design partners and proving ground. Forge is also designed for external engineering teams to adopt, extend, and integrate into their own environments.
You will help evolve Forge into an integrated engineering environment with shared foundations for APIs, user interfaces, extensions, model integrations, and agent tools. Working across frontend architecture, backend services, and model integrations, you will validate the platform through real workflows. Your work will help engineers understand complex systems, develop autonomy software, investigate failures, and deliver reliable capabilities faster.
What you'll do:
Key outcomes: A successful engineer in this role will help deliver the following outcomes:
Required qualifications:
-
Build and operate a front-end focused development platform embedded in the workflows used to train, validate, and deploy the AI Pilot.
-
Design a composable UI architecture that lets applications contribute apps, dashboards, commands, widgets, and shared resource context.
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Define typed, versioned contracts between the platform and independently developed Forge applications.
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Create workflows for teams to package, publish, configure, install, upgrade, and disable applications.
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Enable Forge’s native AI experiences and external agent harnesses to understand active context, invoke authorized tools, navigate applications, and compose dashboards.
-
Deliver consistent application behavior across local-development and AI Factory environments.
-
Partner with simulation, autonomy, and ML subject-matter experts to build initial applications, validate the platform against real workflows, and incorporate what you learn.
-
Work across infrastructure, security, product, and design to shape the platform’s architecture and engineering practices.
Key outcomes: A successful engineer in this role will help deliver the following outcomes:
-
Build and operate a front-end focused development platform embedded in the workflows used to train, validate, and deploy the AI Pilot.
-
Design a composable UI architecture that lets applications contribute apps, dashboards, commands, widgets, and shared resource context.
-
Define typed, versioned contracts between the platform and independently developed Forge applications.
-
Create workflows for teams to package, publish, configure, install, upgrade, and disable applications.
-
Enable Forge’s native AI experiences and external agent harnesses to understand active context, invoke authorized tools, navigate applications, and compose dashboards.
-
Deliver consistent application behavior across local-development and AI Factory environments.
-
Partner with simulation, autonomy, and ML subject-matter experts to build initial applications, validate the platform against real workflows, and incorporate what you learn.
-
Work across infrastructure, security, product, and design to shape the platform’s architecture and engineering practices.
Required qualifications:
-
Experience owning production full-stack applications from design and implementation through rollout and support.
-
Strong proficiency with TypeScript and React or an equivalent modern web stack.
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Experience building production backend services in Go, Python, Rust, or a comparable language.
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Experience designing typed, versioned APIs and contracts between independently deployed components.
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Strong knowledge of web and distributed-system architecture, including state management, routing, asynchronous communication, browser security, authentication, authorization, and failure handling.
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Experience building real-time and high-performance applications (WebGL, WebGPU)
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About this listing
- Source: Shield AI's official careers site · still listed there on 9 Nov 2026
- Posted 28 Oct 2026
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Role market pulse
How Senior Software Engineer demand looks in United States
Live jobs
1,194
Posted 30d
897
30d movement
+421.5%
Remote share
32.7%
Salary listed
85.3%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Department · Hivemind Enterprise Division
Hiring company
Shield AI
Technology
View the company profile, current openings and hiring details.
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