Applied Research Platform Engineer

Technical Staff - Platform

Location:

Seattle, WA, USA (Remote ok)
Type:
Full-time

Ndea is building AGI systems that depend on search guidance.

We're looking for a senior, end-to-end platform engineer who can turn ambiguous research and product needsinto working systems. Your customers are human researchers (including you) and their agents.

You'll shape the right technical approach and build infrastructure, tools, and applications.

This is a builder role. You'll encounter novel problems at the frontier of symbolic learning and be expected to help determine what should exist, then build it. Sometimes that means composing existing tools; other times it means designing and building something new.

This is a high-ownership role for someone excited to build at the frontier of neuro-symbolic AI and help define how humans and AI agents engineer complex systems together.

We offer:

• Meaningful equity, competitive salary, and benefits
• Aggressive compute budget
• Small, high-talent-density, globally remote team

Ndea is an equal opportunity employer and does not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.

• Demonstrated ability to take ambiguous technical problems from problem definition through implementation
• Strong product and requirements instincts: you ask the right questions, challenge assumptions, and clarify what needs to be built before jumping to a solution
• Experience running distributed, compute-intensive workloads involving containers, high concurrency,CPU/GPU allocation, timeouts, transient failures, and memory constraints
• 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, Cloud Formation, 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

• Experience operating in an early-stage startup
• Experience owning production systems at significant scale
• Hands-on exposure to program synthesis, inductive logic programming, Answer Set Programming, Datalog,SAT/SMT solving, or related formal methods
• Experience with network engineering, private networking, and secure service access