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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-minded 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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.