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 beexpected to help determine what should exist, then build it. Sometimes that means composing existingtools; 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 helpdefine 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, nationalorigin, gender, sexual orientation, age, veteran status, disability or any other legally protectedstatus. Demonstrated ability to take ambiguous technical problems from problem definition throughimplementation Strong product and requirements instincts: you ask the right questions, challenge assumptions, andclarify 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 productiondebugging 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 Nice-to-have: 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 #J-18808-Ljbffr Ndea