About this role

Build pipelines that generate and process large datasets used for training and evaluating models
Manage simulation outputs, geometry data, and experiment artifacts
Develop tools for validating, transforming, and curating datasets
Build and maintain APIs used by the Vinci product
Develop integrations with models, simulation engines, and external tools
Design services that support the core user workflows of the platform
Work across the stack with ML engineers, physics researchers, and product engineers.

Experience building and operating production backend services
Strong experience designing APIs and service architectures
Ability to write clean, maintainable, well-tested code
Experience debugging and improving performance, reliability, and observability
Comfortable integrating external services, APIs, and internal models
Ability to work across teams to translate product requirements into system design
Experience building data pipelines or large-scale processing workflows
Familiarity with batch processing, distributed systems, or workflow orchestration
Experience managing large datasets and data transformations
Comfort working with compute-heavy workloads and long-running jobs
Experience deploying and operating systems in cloud environments (AWS, GCP, or similar)
Familiarity with containerized services and modern deployment workflows
Ability to design systems that balance throughput, latency, and cost.

Technical Staff Member – Backend Engineer, Data Systems and APIs

Key skills