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Six-month on-site co-op building LLM-driven features and agents inside the Nuclear Operating System. Ship ML models and agent workflows, develop data pipelines (Foundry/AWS GovCloud), build predictive and anomaly-detection models on time-series sensor data, and own model quality, evals, and monitoring for production readiness.

Six-month on-site software engineering co-op building production features for the Nuclear Operating System (NOS). Work spans product, platform, and data squads, including AI-powered features (LLMs, RAG, agents), data integrations (Palantir Foundry, AWS GovCloud), automated testing, and field deployment tooling. Ship production code alongside engineers and nuclear experts.

Work as a data science intern on NOS to frame questions, wrangle data, build and validate forecasting/classification/anomaly-detection models, extend the data ontology, build pipelines (Foundry, AWS GovCloud), and deliver dashboards and analyses that inform engineering and executive decisions.

Six-month on-site software engineering co-op building NOS features for reactor construction: implement AI-powered (LLM/agent) features, data integrations (Palantir Foundry, AWS GovCloud), convert prototypes to production, build field deployment tooling, and maintain automated testing and compliance infrastructure.

12-week Summer 2027 software engineering internship building production features in the Nuclear Operating System (NOS). Work includes AI-powered features (LLM/agent-backed), retrieval and tool-calling, data integrations with Palantir Foundry and AWS GovCloud, converting prototypes to production, field deployment tooling, and automated testing/compliance to keep NOS audit-ready. On-site in Washington, DC; interns ship real features alongside full-time engineers and nuclear experts.

Six-month on-site Fall 2026 co-op building ML and LLM-driven features and agents inside the Nuclear Operating System. Responsibilities include shipping models and agent workflows, building data pipelines and integrations (Foundry, AWS GovCloud), developing predictive/time-series models, and owning model quality, evals, and monitoring to keep AI features production-ready and audit-ready.

Build and ship ML and LLM-driven features and agents inside the Nuclear Operating System (NOS). Develop data pipelines and integrations (e.g., Foundry, AWS GovCloud), create predictive and anomaly-detection models, and own model quality with evals, regression suites, and monitoring. Work on production systems alongside engineers and domain experts during a summer on-site internship.

Manage project-level financial tracking for active construction projects, reconciling actuals to budget, maintaining models and dashboards, tracking EPC milestone billing and change orders, and delivering ad hoc cost and schedule analyses for leadership. Ensure data hygiene across systems and support deployment reporting and capital dashboards.

The Senior Associate will analyze project finances, support complex transactions, and collaborate with cross-functional teams to achieve financing objectives for nuclear projects.

The Senior Scheduler will develop and manage detailed project schedules for nuclear projects, oversee contractor planning, identify risks, and report progress to ensure timely project execution.