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Salary
≈ $8k – $22k per year (Estimated)
Location
In office (Panaji)
Seniority
Junior · 2+ years exp

First seen by Alion on Oct 23, 2026.

Overview
Company
Impact
Profile match
SimForge turns real-world streets into simulation-ready digital twins. Compose scenarios, render multi-sensor synthetic data, and validate autonomous systems in CARLA and Unreal Engine — all from the browser.

We are looking for a strong product-minded fullstack engineer to make these workflows powerful, usable, and AI-native. You will build the product surface area for SimCloud and SimScene: scenario authoring, map and scene exploration, job submission, simulation result inspection, dataset generation, and AI-assisted workflows. This is not a generic dashboard role. You will be building interfaces where users can inspect complex 3D/geospatial assets, author simulation scenarios, trigger cloud workloads, review outputs, and use agents to accelerate tasks that would otherwise require deep simulation or geospatial expertise.


Responsibilities:

  • Build fullstack product features across SimCloud and SimScene.
  • Create user workflows for scene search, map inspection, metadata browsing, scenario placement, job submission, simulation monitoring, result review, and dataset packaging.
  • Design and implement AI-assisted product experiences: scenario generation, prompt-to-scene workflows, simulation debugging assistants, dataset curation agents, and guided editing loops.
  • Build frontend experiences that make complex simulation and geospatial data understandable and actionable.
  • Develop backend APIs and services to support product workflows, permissions, job state, metadata queries, artefacts, and user collaboration.
  • Partner with design, simulation, infrastructure, and ML engineers to turn rough technical capabilities into usable product features.
  • Use agentic engineering workflows to accelerate development, including coding agents, UI iteration loops, eval harnesses, automated tests, and product prototyping.
  • Create internal tools that help the team move faster: admin consoles, debug tools, workflow inspectors, scenario validators, and simulation artefact viewers.
  • Help shape the UX patterns for AI-native simulation products.


Requirements:

  • Strong fullstack engineering experience, ideally with modern TypeScript, React, Next.js, Node.js, Python, or similar stacks.
  • Strong product sense and ability to turn ambiguous workflows into simple user experiences.
  • Experience building complex web applications involving data visualisation, workflow tools, developer tools, cloud products, geospatial products, ML products, or creative tools.
  • Ability to work across frontend, backend, APIs, databases, auth, storage, and product architecture.
  • Comfort with technical product domains where users need to inspect, debug, configure, and iterate.
  • High agency and strong taste for developer velocity.
  • Hands-on fluency with AI tooling: Cursor, Claude Code, Codex-style agents, eval loops, prompt-driven prototyping, automated UI tests, and agent-assisted refactoring. Ability to build quickly without creating product or architectural debt.


Nice to have:

  • Experience with 3D, maps, geospatial data, simulation, robotics, game engines, synthetic data, or ML tooling.
  • Experience with Mapbox, deck.gl, Caesium, Three.js, WebGL, Unreal/Unity-adjacent workflows, or 3D asset inspection.
  • Experience building AI-first product features, copilots, agents, structured generation workflows, or human-in-the-loop review systems.
  • Experience with job dashboards, workflow systems, data labelling tools, dataset management tools, or ML experiment platforms.
  • Experience with design systems and high-quality frontend craft.

Skills

API, APIs, JavaScript, Next.js, Node.js, Python, React, TypeScript, auth, database, full stack, fullstack

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