Full Stack Engineer

About the role

SimForge is building the data infrastructure for Physical AI, creating photorealistic digital twins, HD semantic maps, and cloud‑native simulation platforms for autonomous vehicles, robotics, and smart‑city systems. We are seeking a product‑focused Full Stack Engineer to design and deliver powerful, AI‑native workflows for our SimCloud and SimScene products.

Key responsibilities

• Develop end‑to‑end product features for scenario authoring, map and scene exploration, job submission, simulation result inspection, and dataset generation.
• Create intuitive user workflows for complex 3D/geospatial asset inspection, scenario placement, cloud workload triggering, and result review.
• Design and implement AI‑assisted experiences such as scenario generation, prompt‑to‑scene pipelines, debugging assistants, and dataset curation agents.
• Build frontend interfaces that make large‑scale simulation and geospatial data understandable and actionable.
• Implement backend APIs and services supporting permissions, job state, metadata queries, artifact storage, and collaborative features.
• Collaborate with design, simulation, infrastructure, and ML engineers to translate technical capabilities into usable product features.
• Leverage agentic engineering tools—coding agents, UI iteration loops, automated tests, and prototyping harnesses—to accelerate development.
• Create internal tools (admin consoles, debug utilities, workflow inspectors, scenario validators) that improve team productivity.

Required profile

• B.Tech (or equivalent) from a Tier‑1 engineering college.
• Strong full‑stack experience, preferably with modern TypeScript, React, Next.js, Node.js, and Python stacks.
• Demonstrated product sense and ability to turn ambiguous workflows into simple, user‑friendly experiences.
• Experience building complex web applications involving data visualization, workflow tools, developer tools, cloud or geospatial products, and/or ML‑driven solutions.
• Comfort working across frontend, backend, APIs, databases, authentication, storage, and overall product architecture.
• High agency, fast development velocity, and a willingness to work on AI‑native simulation domains.

Required skills

• TypeScript
• React
• Next.js
• Node.js
• Python
• API development
• Database design
• Authentication & authorization
• Cloud services
• AI integration
• Geospatial data handling