Software Engineer building production web apps, APIs, and data infrastructure for robotics and embodied AI. Owning end-to-end tools for labeling, capture, QA, delivery, and operations.
Responsibilities
Take features from design through implementation, testing, and production across frontend, backend, and integrations
Build internal products, dashboards, and workflow applications for labeling, capture, delivery, QA, and operations
Own backend services and APIs with permissions, retries, data integrity, observability, and background workflows
Package, validate, index, and serve large video and sensor datasets
Replace spreadsheet-heavy processes and one-off scripts with durable tools and workflows
Iterate quickly with operators and stakeholders, then harden validated solutions
Support data delivery, operations, research, and robotics/AI lab customers
Requirements
3–7 years building and shipping production software, or equivalent impact
Experience ideally in SaaS and startup/scale-up environments
Comfortable owning features across the stack
Modern frontend experience, such as TypeScript/React
At least one backend language, such as Python, Node, or Go
Experience designing and building high-throughput services for large-scale data upload/ingest, processing, indexing, retrieval, and access control
Practical database experience, such as SQL/PostgreSQL or MongoDB
Experience with production APIs, REST or GraphQL
Production systems ownership, including monitoring, debugging, and root-cause fixes
Clear communication with non-technical partners
Experience in one or more relevant areas such as internal products, operations applications, web/media or SDKs, data platforms, payments/revenue systems, AI coding tools or LLM integrations
Ability to work in a hybrid environment
Benefits
Equity
Health and wellness benefits
Other company programs
Hybrid work with teams in Toronto, New York, and San Francisco
Inclusive work environment and equal opportunities
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