Staff AI & Agentic Platform Engineer
Company websiteanduril.com (Anduril Industries, opens in new tab)
Base salary $180K to $245K
Employer-published annual base salary, USD. Advertised base range in Costa Mesa, CA +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationCosta Mesa, CA +1 more
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (3 h ago) · observed since
All places named
- Costa Mesa, CA
- Washington, DC
About this job
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
Discovery is Anduril's team for taking the newest problems across domains- space, missile systems, air, sensor capability, autonomy, and cyber- and proving out what is worth solving. We build the models, run the tests, and carry what works to the point where a program can pick it up. Discovery works alongside Air Defense, Space, Intelligence, Cyber, GNC, Hardware, and every other group at Anduril to incubate the solutions to the hardest problems.
ABOUT THE JOB
Discovery is building an expeditionary force: a team of engineers who want to solve difficult problems and who navigate unfamiliar territory as an operating standard. As an AI & Agentic Platform Engineer, you pick up a concept nobody has proven and build the analysis or prototype that tests it to get to an answer. Whether you spend your time working on hard problems on our autonomy stack, acoustic sensor analysis, or battle space management, we tackle every challenge the same way: by questioning assumptions and building our way to the answer.
We are focused on taking AI models from research into production—onto classified platforms and edge hardware where they have to perform reliably in the real world. As our model portfolio and classified work grow, rigorous, repeatable evaluation of how these models actually perform has become mission-critical.
WHAT YOU'LL DO
- Develop Test Scenarios Simulation Environments: Develop comprehensive test scenarios, and simulation environments to assess agentic AI performance in classified simulations.
- Validate AI on Classified & Edge Platforms: Lead the integration and validation of agentic AI systems onto classified platforms and edge hardware.
- Build Reusable Evaluation Pipelines: Build reusable evaluation pipelines, automated test harnesses, and monitoring dashboards for continuous validation.
- Define Actionable Metrics: Figure out what good metrics look like for AI models and traditional models—establishing systematic, historic capture of performance rather than one-shot, deployment-specific measurement.
- Partner Cross-Functionally: Partner with cross-functional teams to define requirements, document test results, and contribute to AI model cards and deployment readiness reviews.
- Own End-to-End Evaluation: Architect, build, and maintain the evaluation and validation infrastructure for our agentic AI and ML models, from unit-level model checks through full-system, scenario-based assessment.
- Troubleshoot and Debug: Analyze and resolve issues uncovered in evaluation and in deployment, ensuring reliability and operational success across every release.
REQUIRED QUALIFICATIONS
- Technical Expertise: Bachelor's or Master's degree in Computer Science, Machine Learning, Software Engineering, Computer Engineering, Electrical Engineering, or a related technical field.
- Programming Proficiency: At least 8-10 years of hands-on experience writing production-grade code, with strong Python skills for building evaluation pipelines, test harnesses, and tooling.
- Evaluation Ownership Mindset: Demonstrated experience owning evaluation or automated testing for production ML or software systems—test scenarios, metrics, regression suites, and CI infrastructure.
- AI/ML Evaluation Experience: Hands-on experience designing evaluation methodologies for AI or machine learning models—defining metrics, building benchmarks, and assessing model behavior against real-world scenarios.
- Simulation Experience: Experience designing or working extensively with simulation environments to exercise model and system behavior.
- Metrics Discipline: Working knowledge of how to define, capture, and reason about performance metrics for AI models and traditional models, including systematic historic capture over time.
- Systems-Level Thinking: Ability to navigate and contribute to complex systems and established codebases.
- Program Ownership: Comfort operating between technical program management and software engineering—defining requirements, coordinating across teams, and documenting results.
- Real-World Impact: Passion for building the evaluation infrastructure that proves AI works—directly influencing mission-critical outcomes.
- Security Clearance: Must have a TS/SCI clearance.
PREFERRED QUALIFICATIONS
- Prior Title Background: Experience as an ML Test & Evaluation Engineer, SDET for ML systems, ML/Evaluation Engineer, Simulation Engineer, or Technical Program Manager for AI/ML.
- Agentic AI Evaluation: Experience designing test methodologies for agentic AI systems—tasking, decision-making, and scenario-based behavior validation.
- Classified / Edge Deployment: Familiarity with validating and deploying AI models onto classified platforms, edge hardware, or resource-constrained environments.
- Model Cards & Readiness Reviews: Experience contributing to AI model cards, deployment readiness reviews, or similar model-governance and release-gating practices.
- Aerospace/Defense T&E: Familiarity with test and evaluation practices in aerospace or defense, including qualification testing, range operations, or operational assessment.
- MLOps & Monitoring: Experience with MLOps tooling, monitoring dashboards, and continuous validation pipelines for ML models in production.
- Programming Skills: Additional experience with Go, C++, or scripting for test automation and tooling.
- Growth into Broader Ownership: Interest in growing from T&E ownership into deeper ownership of the AI evaluation and deployment stack over time.
US Salary Range
$180,000—$245,000 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 [email protected].
-
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 [email protected]. 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 https://anduril.com/applicant-privacy-notice/.
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.
Source: Anduril Industries on Greenhouse · View original posting (opens in new tab)
Pay in context
This role's base floor ($180,000) is above 51% of the 4,313 Software Engineering roles in California listed on this site; 176 others list the same floor. Their median floor is $176,100; the middle half runs from $149,100 to $203,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingStaff AI & Agentic Platform Engineer$180K to $245K
Senior Electrical Integration Systems Engineer, Edge Compute and Communications, Active Clearance$180K to $220K
Senior Modeling and Simulation Analyst, Air Dominance & Strike, Active Clearance$180K to $225K
Senior Systems Engineer, C2 Networking, Edge Compute and Communications, Active Clearance$180K to $220K
Senior Mission Engineer, Air Dominance & Strike, Active Clearance$180K to $225K
Senior System Engineer, ModSim, Joint Simulation Environment (JSE)$180K to $220K
Deputy Chief Engineer, Tactical Effects$182K to $242K
Chart as a table
| Role | Published base |
|---|---|
| Staff AI & Agentic Platform Engineer (this listing) | $180K - $245K |
| Senior Electrical Integration Systems Engineer, Edge Compute and Communications, Active Clearance | $180K - $220K |
| Senior Modeling and Simulation Analyst, Air Dominance & Strike, Active Clearance | $180K - $225K |
| Senior Systems Engineer, C2 Networking, Edge Compute and Communications, Active Clearance | $180K - $220K |
| Senior Mission Engineer, Air Dominance & Strike, Active Clearance | $180K - $225K |
| Senior System Engineer, ModSim, Joint Simulation Environment (JSE) | $180K - $220K |
| Deputy Chief Engineer, Tactical Effects | $182K - $242K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Advertised base range changed
- Observed since
- Employer-stated posting date
- 2026-10-08
Where this pay comes from
Location as the employer wrote it: Costa Mesa, California, United States; Washington, District of Columbia, United States
$180,000—$245,000 USD
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
