Anduril Industries

Anduril Industries

Anduril Industries is an American defense technology firm that specializes in developing advanced autonomous systems for integrated awareness and security across land, sea, and air, utilizing its proprietary Lattice platform to enhance intelligence, su...

Aerospace & Defense
1K-5K
Founded 2017
$2200M raised

Description

  • Build full-stack applications for the Frontier AI Agent Platform, including frontend interfaces, backend APIs, workflows, dashboards, metrics, and reporting tools.
  • Create user-facing applications for ML researchers, software engineers, test and evaluation teams, and technical program stakeholders.
  • Design and implement backend APIs for launching training runs, configuring evaluations, tracking experiments, observing agent behavior, and comparing performance across models, agents, policies, and baselines.
  • Build reliable workflows for evaluating AI agents across simulations, test harnesses, mission scenarios, and production-like environments.
  • Develop metrics and reporting interfaces that make complex evaluation results understandable, actionable, and trustworthy.
  • Partner with ML engineers and domain teams to translate ambiguous evaluation needs into intuitive product experiences.
  • Build observability and debugging tools to inspect agent trajectories, tool calls, model outputs, failure modes, regressions, and deployment readiness.
  • Create reporting surfaces that help technical and non-technical stakeholders compare approaches and make informed tradeoffs.

Requirements

  • Strong full-stack engineering experience building production web applications, internal tools, or developer platforms.
  • Proven experience developing modern web user interfaces using React and JavaScript or TypeScript.
  • Experience designing and implementing backend APIs, including REST, gRPC, or similar service interfaces.
  • Ability to build user-friendly metrics, dashboards, and reporting workflows for complex evaluations, training runs, experiments, and deployments.
  • Strong product judgment and the ability to turn messy technical workflows into clear interfaces users can trust.
  • Ability to work closely with ML researchers, software engineers, and test and evaluation teams to build reusable platform capabilities.
  • Strong engineering fundamentals in reliability, observability, data modeling, API design, and maintainable system architecture.
  • Eligible to obtain and maintain an active U.S. Secret security clearance.
  • Experience building ML platforms, experiment tracking tools, evaluation dashboards, simulation tooling, or internal developer platforms (preferred).
  • Familiarity with LLM agents, reinforcement learning, post-training workflows, model evaluation, or agent observability (preferred).
  • Experience with metrics design, data visualization, experiment comparison, or decision-support tooling (preferred).
  • Experience with Kubernetes, Docker, workflow orchestration, distributed systems, or cloud infrastructure (preferred).
  • Familiarity with defense, robotics, autonomy, command-and-control, test and evaluation, or operational planning domains (preferred).

Benefits

  • US salary range of $220,000 to $292,000.
  • Highly competitive equity grants included in the majority of full-time offers.
  • Top-tier benefits for full-time employees.
  • Comprehensive, competitive benefits package available at little to no cost to employees.
  • Support for health, recovery, and other life needs.

Interested in this position?

Apply directly on the company website

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