Full Stack Software Engineer

About us:

Calder is solving the data bottleneck for embodied AI and world models. Today's AI models lack the real-world, 4D data needed to reason on spatial problems and operate in physical environments. We capture, process, and deliver high-fidelity human-generated spatial data at scale, providing the substrate that trains the next generation of generalizable models for manipulation, navigation, and interaction.

About the Role

We're looking for a Full-Stack Engineer to build the apps, tools, and websites that run Calder's operations. A lot of the business depends on software someone has to build quickly: dashboards that show managers where collection, QA, and deliveries stand; internal tools that replace spreadsheets and one-off scripts for operations and review teams; and portals that let vendors and customers onboard, upload, track status, and get what they need without a support thread. You'll take requests directly from leads managers, operators, vendors, and customers, turn them into a clear scope, and ship them end to end — frontend, backend, data, and deployment. This is a hands-on, high-ownership role: you will talk to the people who have the problem, ship a first version fast, and keep improving it based on how it is actually used.

• Build and own dashboards for managers and leadership — collection progress, QA and review throughput, vendor performance, delivery status — backed by queries you can trust over our databases and data lake

• Build internal tools for operations and review teams: task queues, review UIs, admin consoles, bulk-edit and correction tools, and lookups that replace spreadsheets and ad-hoc scripts

• Build vendor-facing apps: onboarding, large-file upload and intake, metadata capture, equipment and location management, status tracking, and feedback loops so vendors can fix issues themselves

• Build customer-facing apps and sites: delivery portals, dataset browsing and previews, delivery dashboards, and reports shaped to each customer's requirements

• Gather requirements directly from managers, ops leads, vendors, and customers; turn vague asks into a scoped first version, and iterate quickly once it ships

• Design the backend behind those tools: APIs, Postgres schemas and migrations, and integrations with our data pipelines, storage, and third-party services

• Own access for external users — organizations, SSO, roles and scopes — so each vendor and customer sees exactly their own data and nothing else

• Ship with tests (unit, integration, end-to-end), CI/CD, and monitoring, and support what you run in production

• Keep a consistent component and design system across internal and external apps so new tools are fast to build and easy to use

• Write short docs and runbooks so ops and support can use and troubleshoot the tools without tribal knowledge

About you

• 4+ years building and shipping production web applications end to end — frontend, backend, database, and deployment

• Strong TypeScript and React with modern tooling (Vite, Tailwind, TanStack Query, or similar)

• Strong backend skills in Python (FastAPI or similar) and real fluency in SQL and PostgreSQL data modeling

• Experience building data-heavy dashboards and admin tools — large tables, filters, search, charts, exports — that stay fast as the data grows

• Experience with authentication and authorization for external users: SSO/OAuth, multi-tenant organizations, role- or scope-based access

• Comfortable on AWS (S3, containers, managed Postgres) and with infrastructure-as-code such as Terraform

• Product instinct: you can find the real need behind a request, and you would rather ship something useful this week than something perfect next quarter

• Fluent with AI coding tools (Claude Code, Cursor, or similar) and use them to move fast without lowering the quality bar

• Clear written communication; comfortable working directly with external vendors and customers

• B.S. or M.S. in Computer Science or equivalent practical experience

Nice to Have

• Data releases and customer deliveries — packaging, validating, and shipping datasets on a schedule

• Domain knowledge of data converters — vendor capture formats into a standard format, and standard data into customer delivery formats, including structured and binary formats (video, protobuf, MCAP, or similar)

• Handle vendor- and customer-specific issues — failed uploads, unsupported devices or formats, deliveries that don't match the spec — and how to investigate them end to end

• Large-file upload flows: resumable uploads (tus), S3 multipart, presigned URLs

• Video, image, or 3D previews in the browser (HLS, three.js, point clouds)

• Data orchestration and analytics tools: Dagster or Airflow, Athena, DuckDB

• Maps and geospatial UIs

• gRPC / Protocol Buffers and typed API contracts

• WorkOS, Auth0, or similar identity platforms

• Datadog or similar observability; Playwright for end-to-end tests

• Background in ML data, robotics, or data-operations companies

• Datadog or similar observability; Playwright for end-to-end tests

• Background in ML data, robotics, or data-operations companies

• Building apps used by a multilingual, global vendor base

Calder is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Learn more here.

By applying for this position, you consent to the collection, storage, and processing of your personal data by Calder for recruitment purposes. We will handle your information securely and in accordance with local privacy policies. Your data may be shared with authorized third-party service providers aiding in the hiring process.