Remote Senior Research Platform Engineer - AI Infra

Ndea; Seattle (WA); Hybrid; USD 180.000 - 240.000; Vollzeit

Benefits dieser Stelle

Equity

Benefits

Compute budget

Remote team

Zusammenfassung

Ndea in Seattle, WA is seeking a senior, end-to-end platform engineer to design, build, operate, and improve internal research infrastructure. Your customers are human researchers and their agents, and you’ll build tools and workflows for both.

Your mission is to shorten the loop from “a researcher has an idea” to “the experiment ran reliably and produced rigorous and transparent results.” This is a high-ownership role at the frontier of neuro-symbolic AI, helping define how humans and AI agents

Qualifikationen

• Experience running distributed, compute-intensive workloads with containers and high concurrency.
• Experience making long-running workloads reliable, checkpointable, resumable, and debuggable.
• Strong observability skills spanning structured logging, metrics, tracing, dashboards, and production debugging.
• Experience building backend systems with technologies such as Postgres and object storage.
• Hands-on experience with a major cloud platform, such as AWS or GCP.
• Fluency with Linux, Bash, and command-line tooling.
• Infrastructure-as-code experience with Terraform, CloudFormation, or similar tools.
• Growing fluency with coding agents and an interest in building codebases, tools, and feedback loops that help agents work effectively.
• Genuine interest in symbolic AI.

Kenntnisse

Linux

Bash

CLI tooling

Distributed compute

Debugging

Observability

Symbolic AI interest

Coding agents

Tools

Postgres

Object storage

Terraform

CloudFormation

AWS

GCP

Jobbeschreibung

Ndea in Seattle, WA is seeking a senior, end-to-end platform engineer to design, build, operate, and improve internal research infrastructure. Your customers are human researchers and their agents, and you’ll build tools and workflows for both.

Your mission is to shorten the loop from “a researcher has an idea” to “the experiment ran reliably and produced rigorous and transparent results.” This is a high-ownership role at the frontier of neuro-symbolic AI, helping define how humans and AI agents