Software Engineer, Training Platform

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE TEAM

Anduril’s Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. Anduril’s Frontier AI team builds edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy.

ABOUT THE JOB

Anduril is looking for a full-stack software engineer to build the Frontier AI Agent Platform: the internal product used to train, evaluate, observe, compare, and deploy AI agents across the company. This role sits at the intersection of product engineering, ML infrastructure, evaluation tooling, and operational reporting. You will build the workflows and interfaces that help ML researchers, software engineers, test and evaluation teams, and program stakeholders understand how agents perform and whether they are ready for mission-critical use.

WHAT YOU’LL DO

Build full-stack applications for Anduril’s 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 clear, 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 that help teams inspect agent trajectories, tool calls, model outputs, failure modes, regressions, and deployment readiness. Create reporting surfaces that allow technical and non-technical stakeholders to compare approaches and make informed tradeoffs.

REQUIRED QUALIFICATIONS

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 that accurately represent complex evals, training runs, experiments, and deployments. Strong product judgment: able to turn messy technical workflows into clear interfaces that users can trust. Ability to work closely with ML researchers, software engineers, and test and evaluation teams to understand their workflows and build reusable platform capabilities. Strong engineering fundamentals around reliability, observability, data modeling, API design, and maintainable system architecture. Eligible to obtain and maintain an active U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

Experience building ML platforms, experiment tracking tools, evaluation dashboards, simulation tooling, or internal developer platforms. Familiarity with LLM agents, reinforcement learning, post-training workflows, model evaluation, or agent observability. Experience with metrics design, data visualization, experiment comparison, or decision-support tooling. Experience with Kubernetes, Docker, workflow orchestration, distributed systems, or cloud infrastructure. Familiarity with defense, robotics, autonomy, command-and-control, test and evaluation, or operational planning domains. US Salary Range

$220,000—$292,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to View email address on click.appcast.io. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to View email address on click.appcast.io. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.