About SimForge
SimForge is building the data infrastructure for Physical AI. We create photorealistic digital twins, HD semantic maps, and cloud-native simulation infrastructure that enable autonomous vehicles, robotics, and smart city AI systems to train, test, and validate safely at scale.
We are looking for a strong product‑mindful fullstack engineer to make these workflows powerful, usable, and AI‑native.
What You’ll Own
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, artifacts, 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 artifact viewers.
- Help shape the UX patterns for AI‑native simulation products.
What We’re Looking For
- Btech from Tier 1 Engineering colleges with 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 visualization, 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, Cesium, 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 labeling tools, dataset management tools, or ML experiment platforms.
- Experience with design systems and high‑quality frontend craft.
- Skills: 3d,api,agents,ml,data,building,node,cloud.