PlusAI · San Francisco
Software EngineeringData EngineeringHybridFull-timeposted 4w ago
Our data and simulation platforms are only as valuable as what people can do with them. In this role, you will own the product surface on top of those platforms — the web applications, APIs, and backend services that autonomy and ML engineers, operations and road-test teams, and external partners use to find data, author and run simulations, and act on the results. You will work across the full stack, from relational data models and Python services to modern TypeScript interfaces, turning ambiguous engineering workflows into tools people rely on every day. We welcome engineers from product, web platform, or developer-tooling backgrounds; prior autonomous-vehicle experience is helpful but not required.
We are open to candidates at either the Software Engineer or Senior Software Engineer level. Level will be determined by experience, technical depth, scope of ownership, and demonstrated impact. You do not need experience with every technology in our stack; we value strong fundamentals, ownership, and the ability to learn.
Design and ship fullstack applications end to end: Python services and REST APIs, relational data modeling, asynchronous jobs, modern TypeScript frontend interfaces, deployment, testing, observability, and production reliability
Build scenario authoring and management tools, including interactive editors for creating, parameterizing, and versioning test scenarios, and reproducible scenario libraries shared across teams
Build interfaces for large-scale simulation and drive-log replay: launching and tracking runs, browsing results, comparing regressions across releases, and triaging failures down to individual scenarios
Build shared application foundations — authentication, access control, multi-tenancy, and API conventions — that serve internal engineers, operations teams, and external partners from one coherent platform
Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts
BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience
Production fullstack experience spanning backend services and REST APIs, relational data modeling and SQL, and modern frontend development (e.g., React/TypeScript)
Working proficiency in Python for services, libraries, and tooling
Ability to work directly with users to turn ambiguous engineering workflows into simple, reliable interfaces
Self-driven with a strong sense of ownership: a quick learner who is eager to take responsibility and drive projects forward end to end
Experience building interactive or visual web-based tooling, such as canvas, WebGL, Electron, or map- and geometry-based editing
Familiarity with Docker, Kubernetes, and CI/CD for deploying and operating web services
Experience presenting large datasets, time-series, or log data behind responsive interfaces
Experience building user behavior tracking and analysis into web products: instrumenting frontend/backend telemetry, and analyzing usage data to guide product iteration.
Experience with autonomous vehicles, robotics, or simulation and scenario-based testing
Experience with data visualization at scale