Andurilindustries

<div><p>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.</p></div><h3>ABOUT THE TEAM</h3>
<p>Maritime Digital Production (MDP) is the software and digital systems function within Anduril's Heavy Metal division. We build and deploy the full technology stack that powers Anduril's shipbuilding factories: the data infrastructure that makes every machine and sensor visible in real time, the manufacturing execution system (ArsenalOS) that workers and planners use every shift, the scheduling engine that replans production in minutes instead of days, and the AI systems that eliminate manual toil from both the shop floor and business operations.<br /><br />MDP operates at the boundary between Operational Technology and Information Technology. Our systems live where factory-floor machines, edge compute, and OT networks meet enterprise platforms and cloud infrastructure. We incubate solutions close to the production line, validate them with real operators building real hardware, harden them for reliability and security, and then scale them across multiple sites. The environment is fast, physical, and consequential. When our systems go down, production stops. The output of our work is not a dashboard: it is a ship.<br /><br />This is not a support function. It is a strategic investment by Anduril in the premise that digitizing the manufacturing lifecycle end-to-end, from engineering definition through scheduling through execution through field feedback, is how Heavy Metal will out-build, out-adapt, and out-scale the traditional defense industrial base. MDP is scaling from a founding team to 70+ engineers across multiple U.S. sites. You will be joining early, working on hard problems with real operational stakes, and shaping how manufacturing software is built at Anduril from the ground up.</p>
<h3>ABOUT THE JOB</h3>
<p>As a Machine Learning Engineer on the Applied Intelligence initiative, you will be the critical bridge between ML research and production operations. You will own the infrastructure that brings ML prototypes from concept to reliable, production-grade systems running on factory floors and serving manufacturing teams. Working at the intersection of data engineering, MLOps, and production operations, you'll execute the vision of ML engineers by building robust datasets, training infrastructure, and inference systems that operate reliably in both cloud and on-premises OT environments.<br />This role requires someone who can translate ML requirements into production infrastructure, coordinate across teams (data engineering, Big Anduril, manufacturing operations), and serve as the on-call owner for deployed ML systems. You'll be responsible for ensuring that AI applications don't just work in demos—they work 24/7 in real manufacturing environments where downtime has real consequences.</p>
<h3>WHAT YOU'LL DO</h3>
<p><strong>Infrastructure Ownership &amp; Production Operations</strong></p>
<ul>
<li>Own production hardening and deployment of ML prototype applications, transforming research concepts into reliable, maintainable production systems</li>
<li>Take part in on-call rotations for deployed ML products running on factory floors and serving Mantech, ensuring high availability and rapid incident response</li>
<li>Build and maintain inference infrastructure across cloud environments and on-premises OT hardware deployed on the factory floor</li>
<li>Deploy and operate ML systems in factory environments, including edge compute clusters and OT networks, with a focus on reliability and observability</li>
<li>Implement comprehensive monitoring, alerting, and drift detection systems to maintain operational SLOs for production ML applications</li>
<li>Define and execute rollback procedures, validation gates, and safety reviews for AI systems in production</li>
</ul>
<p><strong>Cross-Functional Coordination &amp; Requirements Translation</strong></p>
<ul>
<li>Interface directly with the data engineering team to define and deliver ML-specific data infrastructure needs for Applied Intelligence</li>
<li>Coordinate with Anduril enterprise teams to secure compute resources, labeling infrastructure, data access, and modeling capabilities needed for ML initiatives</li>
<li>Execute the technical vision of ML engineers by translating their requirements into concrete infrastructure for datasets, training pipelines, and inference systems</li>
<li>Partner with manufacturing engineers and factory operators to understand production workflows and translate them into MLOps requirements</li>
<li>Drive make/buy decisions by evaluating internal and vendor capabilities against Applied Intelligence needs</li>
</ul>
<p><strong>Platform &amp; Infrastructure Development</strong></p>
<ul>
<li>Architect and own the end-to-end ML platform stack—from data ingestion and labeling through training orchestration to model serving and lifecycle management</li>
<li>Build model-serving and inference frameworks optimized for production environments, supporting real-time and batch execution across cloud, edge, and shop-floor systems</li>
<li>Implement event-driven data pipelines and telemetry systems that feed models with contextualized, real-time signals from factory sensors and production systems</li>
<li>Select, prioritize, and standardize MLOps components including feature stores, vector databases, model registries, orchestration layers, and observability systems</li>
<li>Design training infrastructure that enables ML engineers to iterate quickly while maintaining reproducibility and governance</li>
</ul>
<p><strong>Data &amp; Model Lifecycle Management</strong></p>
<ul>
<li>Own dataset creation, curation, versioning, and management processes that enable high-quality model development</li>
<li>Implement model governance processes for validation, traceability, retraining triggers, and version control</li>
<li>Build systems for data labeling workflows, quality assurance, and continuous data pipeline monitoring</li>
<li>Manage model versioning, experiment tracking, and artifact management across development and production environments</li>
</ul>
<p><strong>Code Quality &amp; Team Practices</strong></p>
<ul>
<li>Write production-quality code with comprehensive tests, participating in code review and architectural discussions</li>
<li>Establish best practices for MLOps, observability, data management, and secure handling of sensitive production data</li>
<li>Leverage AI tooling (coding assistants, automation) in your development workflow and contribute to team engineering practices</li>
<li>Mentor junior engineers and data scientists on production ML best practices</li>
</ul>
<h3>REQUIRED QUALIFICATIONS</h3>
<ul>
<li>6+ years of experience in software engineering or ML engineering roles building production systems, ideally in fast-paced environments</li>
<li>Strong production MLOps experience: data pipeline management, model versioning, deployment automation, and production monitoring</li>
<li>Proven track record of taking ML models from prototype to production and maintaining them long-term</li>
<li>Experience with on-call rotations and production incident management for data or ML systems</li>
<li>Strong proficiency in Python and experience with deep learning frameworks (PyTorch, TensorFlow)</li>
<li>Experience building and deploying containerized ML services using Docker and Kubernetes</li>
<li>Solid data engineering skills including pipeline orchestration, data quality management, and working with time-series or event-driven data</li>
<li>Experience implementing observability for model performance, inference accuracy, and data drift</li>
<li>Strong technical communication skills with ability to work across ML research, data engineering, and operations teams</li>
<li>Experience building systems that must operate reliably under real-world operational constraints (high availability, low latency, constrained environments)</li>
<li>Proven ability to coordinate across multiple teams and translate requirements into technical solutions</li>
<li>Degree in Computer Science, Engineering, or related technical field, or equivalent practical experience</li>
<li>U.S. Person status is required as this position needs to access export controlled data</li>
</ul>
<h3>PREFERRED QUALIFICATIONS</h3>
<ul>
<li>Experience in manufacturing, industrial, or OT-adjacent domains (MES, SCADA, factory automation, IoT)</li>
<li>Background deploying ML models to edge devices or on-premises hardware in production environments</li>
<li>Experience with workflow/orchestration tools such as Flyte, Airflow, Kubeflow, or Temporal</li>
<li>Familiarity with GPU infrastructure management and inference optimization (TensorRT, Triton Inference Server)</li>
<li>Experience with MLOps tools including experiment tracking (MLflow, Weights &amp; Biases), feature stores (Feast, Tecton), and model registries</li>
<li>Experience building RAG systems, vector databases (Pinecone, Weaviate, Milvus), or LLM deployment pipelines</li>
<li>Background with computer vision model deployment, OCR/IDP systems, or document processing pipelines</li>
<li>Experience coordinating with platform or infrastructure teams at larger organizations (e.g., working with central ML platform teams)</li>
<li>Familiarity with event-driven architectures, IoT/UNS patterns, and real-time systems integration</li>
<li>Knowledge of edge ML deployment, model optimization (quantization, pruning), or deploying models on resource-constrained devices</li>
<li>Experience in regulated environments (NNPI/ITAR) and secure model/data governance</li>
<li>Experience in hyper-growth startup environments, with demonstrated success balancing speed, ambiguity, and long-term system health</li>
<li>Familiarity with enterprise systems such as ERP, MES, WMS, or PLM</li>
<li>Eligible to obtain and maintain a U.S. Secret security clearance</li>
</ul><div><div><div>US Salary Range</div><div><span>$220,000</span><span>—</span><span>$292,000 USD</span></div></div></div><div><p><span>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:</span><span> </span></p>
<p> </p>
<h3><strong>Benefits</strong></h3>
<p><span>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. </span><em><span>For more information, <a href="https://www.anduril.com/careers" rel="noopener noreferrer ugc" target="_blank">Explore Our Benefits</a>.</span></em></p>
<p> </p>
<div>
<h3><strong>Protecting Yourself from Recruitment Scams</strong></h3>
<p>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.</p>
</div>
<div>
<p>To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:</p>
<ul>
<li>
<p><strong>No Financial Requests: </strong>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.</p>
</li>
<li><strong>Please always verify communications:</strong>
<ul>
<li>Direct from Anduril: If you receive an email from one of our recruiters, it will <em>only</em> come from an <code>@anduril.com</code> address.</li>
<li>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 <a href="mailto:contact@anduril.com">contact@anduril.com</a>. </li>
</ul>
</li>
<li>
<p><strong>Exercise Caution with Unsolicited Outreach:</strong> 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.</p>
</li>
<li>
<p><strong>What to Do If You Suspect Fraud:</strong> Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to <a href="mailto:contact@anduril.com">contact@anduril.com</a>. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.</p>
</li>
</ul>
</div>
<h3> </h3>
<h3><strong>Data Privacy</strong></h3>
<p><span>To view Anduril's candidate data privacy policy, please visit </span><span><span><a href="https://anduril.com/applicant-privacy-notice/" rel="noopener noreferrer ugc" target="_blank">https://anduril.com/applicant-privacy-notice/</a></span></span><span>.</span><span> </span></p>
<p> </p>
<p><span>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.</span></p></div>

Senior Machine Learning Engineer (Applied Intelligence)

<div><p>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.</p></div><p>Maritime Digital Production is the software and digital systems function within Anduril's Heavy Metal division. We build and deploy the technology stack that powers Anduril's shipbuilding factories: the data infrastructure that makes every machine and sensor visible in real time, the manufacturing execution system that workers and planners use every shift, the scheduling engine that replans production in minutes instead of days, and the AI systems that remove manual toil from the shop floor and business operations. That includes Serapis, our program building components for the Virginia-class submarine.<br /><br />We operate at the boundary between Operational Technology and Information Technology, incubating solutions close to the production line, validating them with real operators, hardening them for reliability and security, and scaling them across sites. The environment is fast, physical, and consequential. When our systems go down, production stops. The output of our work is not a dashboard: it is a ship.<br /><br />We are scaling from a founding team to more than 70 engineers across multiple U.S. sites. As an intern you join early, on a problem that matters to production, with a defined project and a named engineer you work with every day.</p>
<p>We have built a computational geometry engine that takes a 3D CAD assembly and works out the orders in which it can physically come apart, and therefore the orders in which it can be built. It finds where parts touch, builds directional blocking graphs from that contact geometry, searches for collision-free removal directions, and produces the precedence constraints our production scheduling system plans against.<br /><br />It works on small and mid-sized assemblies. It needs to work on the assemblies we actually build, which have hundreds to thousands of parts. Your job is to close that gap.<br /><br />This is algorithms engineering with a research flavor. You will profile the engine on real assemblies, find where the time and memory go, and attack it: search ordering, pruning, memorization, incremental updates, subassembly decomposition, and parallelism. The goal is a measurably faster engine rather than a paper, and every result is held to one rule: a faster answer that is a different answer is a bug.</p>
<p><strong>WHAT YOU’LL DO</strong></p>
<ul>
<li>Profiling a C++ computational geometry pipeline on real assemblies and reporting where time and memory go</li>
<li>Designing and implementing algorithmic improvements to a disassembly sequence search: candidate ordering, pruning, memoization, and incremental graph updates</li>
<li>Decomposing large assemblies into subassemblies that can be solved independently</li>
<li>Parallelizing expensive geometric tests across cores without losing determinism</li>
<li>Building a benchmark corpus and harness that run in continuous integration and catch regressions</li>
<li>Gating every optimization on output equivalence against a reference set</li>
<li>Writing up results and presenting them to the engineering team</li>
</ul>
<p><strong>REQUIRED QUALIFICATIONS</strong></p>
<ul>
<li>Must be pursuing master’s degree or PhD in Computer Science, Robotics, Mechanical Engineering, Applied Mathematics, or a related field.</li>
</ul>
<ul>
<li>Must be returning to school at the end of the internship to continue academic studies for at least one quarter or semester.</li>
<li>Must be a U.S. Person due to required access to U.S. export-controlled information or facilities; U.S. clearance eligibility may be required depending on program.</li>
<li>Ability to complete an in-person co-op in Santa Ana, CA, in winter 2027.</li>
</ul>
<p><strong>PREFERRED QUALIFICATIONS</strong></p>
<ul>
<li>Strong modern C++, C++17 or later. You have written and debugged performance-sensitive C++ in a codebase you did not write yourself, not only coursework.</li>
<li>Solid algorithms and data structures, including graph algorithms such as strongly connected components and topological ordering, combinatorial search and pruning, and complexity analysis.</li>
<li>Computational geometry fundamentals: triangle meshes, bounding volume hierarchies and other spatial indexes, intersection and collision tests, and reasoning about directions on the sphere.</li>
<li>Experience profiling and optimizing code. You have used a profiler and made something measurably faster.</li>
<li>Research or coursework in assembly sequence planning, disassembly planning, or motion planning. If you know what a non-directional blocking graph is, or have read Wilson and Latombe or the STAAT work by Romney and colleagues, we want to talk to you.</li>
<li>Publications at ICRA, IROS, RSS, SoCG, or Solid and Physical Modeling, or in the Computer-Aided Design journal.</li>
<li>Experience with Eigen, OpenCASCADE, OpenVDB, CGAL, or a collision or bounding volume hierarchy library.</li>
<li>Parallel programming in C++ with Intel TBB, OpenMP, or standard threads, with attention to determinism.</li>
<li>Familiarity with CAD data: boundary representations versus tessellated meshes, and formats such as STEP and JT.</li>
<li>Experience with CMake, GoogleTest, and reproducible builds. Nix is a plus.</li>
<li>Python for tooling and analysis, e.g. NumPy and trimesh.</li>
<li>Familiarity with infinitesimal motion analysis or rotational motions in assembly planning.</li>
</ul><div><div><div>US Hourly Range </div><div><span>$60</span><span>—</span><span>$75 USD</span></div></div></div><div><p><span>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:</span><span> </span></p>
<p> </p>
<h3><strong>Benefits</strong></h3>
<p><span>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. </span><em><span>For more information, <a href="https://www.anduril.com/careers" rel="noopener noreferrer ugc" target="_blank">Explore Our Benefits</a>.</span></em></p>
<p> </p>
<div>
<h3><strong>Protecting Yourself from Recruitment Scams</strong></h3>
<p>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.</p>
</div>
<div>
<p>To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:</p>
<ul>
<li>
<p><strong>No Financial Requests: </strong>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.</p>
</li>
<li><strong>Please always verify communications:</strong>
<ul>
<li>Direct from Anduril: If you receive an email from one of our recruiters, it will <em>only</em> come from an <code>@anduril.com</code> address.</li>
<li>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 <a href="mailto:contact@anduril.com">contact@anduril.com</a>. </li>
</ul>
</li>
<li>
<p><strong>Exercise Caution with Unsolicited Outreach:</strong> 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.</p>
</li>
<li>
<p><strong>What to Do If You Suspect Fraud:</strong> Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to <a href="mailto:contact@anduril.com">contact@anduril.com</a>. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.</p>
</li>
</ul>
</div>
<h3> </h3>
<h3><strong>Data Privacy</strong></h3>
<p><span>To view Anduril's candidate data privacy policy, please visit </span><span><span><a href="https://anduril.com/applicant-privacy-notice/" rel="noopener noreferrer ugc" target="_blank">https://anduril.com/applicant-privacy-notice/</a></span></span><span>.</span><span> </span></p>
<p> </p>
<p><span>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.</span></p></div>

Winter 2027 Research Engineer Co-op

<div><p>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.</p></div><p><strong>ABOUT THE TEAM</strong><br /><br />Anduril’s Infrastructure Engineering organization provides the digital foundations for all aspects of our business. We are<br />evolving into a more data-driven approach for designing, building, and managing the critical infrastructure that ingests, transforms, and serves massive datasets to power analytics, machine learning, and intelligent applications.<br /><br /><strong>ABOUT THE JOB</strong><br /><br />We are seeking a highly skilled Data Engineer with a strong software engineering foundation to help build and scale our next-generation data platform. This is a high-impact role where you will have the autonomy to architect robust systems that unlock critical business insights from complex, large-scale data<br /><br /><strong>WHAT YOU’LL DO</strong><br /><br /><strong>Design and Build Scalable Data Pipelines:</strong> Architect, develop, and maintain robust and efficient ETL/ELT pipelines to<br />process petabyte-scale data from a wide variety of sources using platforms like Google BigQuery , Databricks, and<br />Palantir Foundry .<br /><strong>Apply Software Engineering Principles:</strong> Treat data infrastructure as a software product. Develop reusable<br />frameworks, libraries, and tools to accelerate data pipeline development and ensure reliability , using best practices like<br />version control, code reviews, and CI/CD.<br /><strong>Architect and Model Data:</strong> Design and implement well-structured, performant data models and schemas in our data<br />warehouse and data lakehouse environments, optimized for both analytical querying and application use.<br /><strong>Ensure Data Quality and Reliability: </strong>Implement comprehensive data quality checks, monitoring, and alerting to<br />proactively identify and resolve data issues. Troubleshoot and optimize performance bottlenecks in data processing and<br />storage layers.<br /><strong>Be a Force Multiplier:</strong> Collaborate closely with data scientists, analysts, software engineers, and business stakeholders<br /><br /><strong>REQUIRED QUALIFICATIONS</strong><br /><br /></p>
<ul>
<li>5+ years of experience in a data engineering or a similar software engineering role, ideally building data products in a fast-paced environment.</li>
<li>Strong programming proficiency in Python.</li>
<li>Hands-on expertise with at least one major cloud data platform such as Google BigQuery, Databricks, or an enterprise data system like Palantir Foundry.</li>
<li>Expert-level SQL and query optimization skills on large-scale datasets.</li>
<li>Solid understanding of data modeling concepts, ETL/ELT design patterns, and data warehousing/lakehouse principles.</li>
<li>Experience with a major cloud environment (GCP, AWS, Azure), including its security ecosystem and containerization technologies (Docker, Kubernetes).</li>
<li>Must be eligible to obtain and maintain a US Top Secret security clearance.</li>
</ul>
<p><strong>PREFERRED QUALIFICATIONS</strong></p>
<ul>
<li>Hands-on experience with data orchestration and transformation tools like Spark, PySpark, and dbt.</li>
<li>Experience with Infrastructure as Code (e.g., Terraform, CloudFormation) for managing data resources.</li>
<li>Knowledge of real-time data streaming technologies (e.g., Kafka, Flink, Pub/Sub).</li>
<li>Experience implementing CI/CD pipelines for data applications (e.g., GitHub Actions, Jenkins).</li>
<li>Experience with or a strong interest in learning how to develop data services and data products using modern software architecture and API design principles.</li>
<li>Familiarity with data visualization tools, such as Tableau</li>
</ul><div><div><div>US Salary Range</div><div><span>$147,000</span><span>—</span><span>$196,000 USD</span></div></div></div><div><p><span>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:</span><span> </span></p>
<p> </p>
<h3><strong>Benefits</strong></h3>
<p><span>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. </span><em><span>For more information, <a href="https://www.anduril.com/careers" rel="noopener noreferrer ugc" target="_blank">Explore Our Benefits</a>.</span></em></p>
<p> </p>
<div>
<h3><strong>Protecting Yourself from Recruitment Scams</strong></h3>
<p>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.</p>
</div>
<div>
<p>To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:</p>
<ul>
<li>
<p><strong>No Financial Requests: </strong>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.</p>
</li>
<li><strong>Please always verify communications:</strong>
<ul>
<li>Direct from Anduril: If you receive an email from one of our recruiters, it will <em>only</em> come from an <code>@anduril.com</code> address.</li>
<li>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 <a href="mailto:contact@anduril.com">contact@anduril.com</a>. </li>
</ul>
</li>
<li>
<p><strong>Exercise Caution with Unsolicited Outreach:</strong> 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.</p>
</li>
<li>
<p><strong>What to Do If You Suspect Fraud:</strong> Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to <a href="mailto:contact@anduril.com">contact@anduril.com</a>. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.</p>
</li>
</ul>
</div>
<h3> </h3>
<h3><strong>Data Privacy</strong></h3>
<p><span>To view Anduril's candidate data privacy policy, please visit </span><span><span><a href="https://anduril.com/applicant-privacy-notice/" rel="noopener noreferrer ugc" target="_blank">https://anduril.com/applicant-privacy-notice/</a></span></span><span>.</span><span> </span></p>
<p> </p>
<p><span>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.</span></p></div>

Data Engineer, Infrastructure FinOps

<div><p>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.</p></div><p></p>
<h3>ABOUT THE TEAM</h3>
<p>Anduril’s Digital Manufacturing team is seeking a Lead Manufacturing Engineer, Data Analyst to join our team. The Digital Manufacturing team plays a pivotal role in optimizing manufacturing operations through the implementation and management and advanced digital solutions. The team ensures that manufacturing processes are efficient, scalable, and integrated with the latest industry standards.</p>
<h3>ABOUT THE ROLE</h3>
<p>As a Lead Manufacturing Engineer you will lead a small team of engineers and develop analytical solutions that support day-to-day decision-making for the product lines, functions, and new products under development. The right person for this role has strong technical and analytical skills that can be applied and implemented in a real-world environment to drive outcomes for the business.<br /><br /><strong>WHAT YOU’LL DO</strong></p>
<ul>
<li>Lead and guide a small team of engineers as they develop new solutions and maintain / improve existing solutions.</li>
<li>Engage with relevant manufacturing and cross-functional stakeholders to ensure your team’s success.</li>
<li>Work with manufacturing leadership to develop and implement manufacturing solutions leveraging analytics that enhance productivity, reduce costs, and improve quality.</li>
<li>Conduct detailed analysis of manufacturing data, including production metrics, process flow, and resource utilization, to identify areas for improvement.</li>
<li>Collaborate with cross-functional teams to ensure alignment of efforts with overall business objectives.</li>
<li>Monitor industry trends and best practices to keep our manufacturing processes at and analytical tools the cutting edge.</li>
<li>Create and maintain comprehensive documentation of analytical solutions strategies for continuous improvement.</li>
<li>Lead and facilitate kaizen, lean manufacturing, or six sigma initiatives to optimize production processes.</li>
<li>Provide strategic input into capacity planning and workforce management to ensure scalability of operations.</li>
<li>Implement and refine manufacturing KPIs to measure performance and drive accountability.</li>
<li>Support new product development from a manufacturing perspective, ensuring manufacturability and cost-effectiveness.</li>
</ul>
<h4><strong>REQUIRED QUALIFICATIONS</strong></h4>
<ul>
<li>Bachelor’s degree in Manufacturing Engineering, Industrial Engineering, Operations Management, Data Science, Software Engineering or related field. Master’s degree preferred (either MBA or MS of Engineering).</li>
<li>Experience and expertise developing insights and solutions using data visualization tools: SQL, Python, Typescript, Tableau, PowerBI, PLTR Foundry, MS VBA, etc...</li>
<li>8+ years of experience in a manufacturing strategy or analysis role, with a track record of tangible insights and their implementations that drove results.</li>
<li>2+ years of experience in directly managing a team or experience in complex, cross-functional project management</li>
<li>Ability to quickly understand new operations and potential issues on the product line and can speak the language.</li>
<li>Strong analytical skills with the ability to collect, organize, and analyze significant amounts of information with attention to detail and accuracy.</li>
<li>Strength working with manufacturing leadership to conceptualize solutions and gain / understand requirements</li>
<li>Familiarity with manufacturing software and advanced proficiency in statistical analysis and data presentation tools.</li>
<li>Excellent communication and presentation skills, capable of conveying complex information in an understandable manner.</li>
<li>Experience with lean manufacturing principles and process improvement methodologies such as Six Sigma.</li>
<li>Ability to work collaboratively in a team environment and lead cross-functional projects.</li>
<li>Adept at managing multiple priorities in a fast-paced manufacturing environment.</li>
<li>Must be a U.S. Person due to required access to U.S. export-controlled information or facilities</li>
</ul>
<p></p><div><div><div>US Salary Range</div><div><span>$126,000</span><span>—</span><span>$167,000 USD</span></div></div></div><div><p><span>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:</span><span> </span></p>
<p> </p>
<h3><strong>Benefits</strong></h3>
<p><span>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. </span><em><span>For more information, <a href="https://www.anduril.com/careers" rel="noopener noreferrer ugc" target="_blank">Explore Our Benefits</a>.</span></em></p>
<p> </p>
<div>
<h3><strong>Protecting Yourself from Recruitment Scams</strong></h3>
<p>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.</p>
</div>
<div>
<p>To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:</p>
<ul>
<li>
<p><strong>No Financial Requests: </strong>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.</p>
</li>
<li><strong>Please always verify communications:</strong>
<ul>
<li>Direct from Anduril: If you receive an email from one of our recruiters, it will <em>only</em> come from an <code>@anduril.com</code> address.</li>
<li>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 <a href="mailto:contact@anduril.com">contact@anduril.com</a>. </li>
</ul>
</li>
<li>
<p><strong>Exercise Caution with Unsolicited Outreach:</strong> 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.</p>
</li>
<li>
<p><strong>What to Do If You Suspect Fraud:</strong> Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to <a href="mailto:contact@anduril.com">contact@anduril.com</a>. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.</p>
</li>
</ul>
</div>
<h3> </h3>
<h3><strong>Data Privacy</strong></h3>
<p><span>To view Anduril's candidate data privacy policy, please visit </span><span><span><a href="https://anduril.com/applicant-privacy-notice/" rel="noopener noreferrer ugc" target="_blank">https://anduril.com/applicant-privacy-notice/</a></span></span><span>.</span><span> </span></p>
<p> </p>
<p><span>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.</span></p></div>

Lead Manufacturing Engineer, Test Analytics

<div><p>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.</p></div><h3>About the work</h3>
<p>Lattice is the software platform behind Anduril's autonomous systems. The Stateful Systems team owns its data layer: the time-series and storage systems that hold every track, sensor reading, and tasking record the platform produces. This runs in the field on real deployments, so performance and reliability here directly affect whether operators can do their jobs.</p>
<p>The team is small and the current focus is a rebuild of the core systems. It's a good time to join if you want a large surface area and real ownership.</p>
<h3>What you'll do</h3>
<ul>
<li>Time-Series: We're redesigning the time-series engine from the ground up to scale horizontally across many writers and nodes. The near-term requirement is concrete: 350+ sensor towers and tens of thousands of camera feeds, ingesting continuously, with both live and historical queries.</li>
<li>Distributed storage. High-availability durability (WAL replication, leader election), a pluggable storage-engine layer, and a zero-downtime path to migrate between backends. </li>
<li>Correctness under partition. These systems sometimes run disconnected. Getting consistency and convergence right when the network is unreliable is a central part of the job.</li>
<li>Hard distributed-systems problems. Consistency models, replication protocols, compaction and deletion at scale, back pressure, and durability guarantees.</li>
</ul>
<h3>What we're looking for</h3>
<p>Required:</p>
<ul>
<li>Bachelor's degree in Computer Science, Engineering, or relevant field, or equivalent experience</li>
<li>6+ years of professional software development experience, with a focus on distributed systems or robotics</li>
<li>Deep experience with Python, Go lang, C++, Rust, or similar systems programming languages</li>
<li>Solid distributed-systems fundamentals. You can reason about replication, consistency, partition behavior, and failure modes, and explain why a given design does or doesn't converge.</li>
<li>Production experience building or operating storage engines, databases, or large-scale data infrastructure.</li>
<li>Comfort in a systems language. Depth matters more than the specific language you've used.</li>
<li>A bias toward shipping and owning your work. The team is small and what you build is load-bearing.</li>
</ul>
<p>Nice to have:</p>
<ul>
<li>Time-series systems, LSM or B-tree storage internals, or experience with FoundationDB, RocksDB, Pebble, or similar KV stores.</li>
<li>Experience with systems that run in resource-constrained or intermittently-connected environments.</li>
</ul>
<p> </p>
<h3>Why join</h3>
<p>You get the ownership and pace of an early team, with a redesign in front of you and a lot of latitude to shape the architecture, backed by a real mission and the resources to do it well. The team is small enough that your work is visible and matters, and we put effort into supporting the people on it.</p><div><div><div>US Salary Range</div><div><span>$220,000</span><span>—</span><span>$292,000 USD</span></div></div></div><div><p><span>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:</span><span> </span></p>
<p> </p>
<h3><strong>Benefits</strong></h3>
<p><span>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. </span><em><span>For more information, <a href="https://www.anduril.com/careers" rel="noopener noreferrer ugc" target="_blank">Explore Our Benefits</a>.</span></em></p>
<p> </p>
<div>
<h3><strong>Protecting Yourself from Recruitment Scams</strong></h3>
<p>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.</p>
</div>
<div>
<p>To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:</p>
<ul>
<li>
<p><strong>No Financial Requests: </strong>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.</p>
</li>
<li><strong>Please always verify communications:</strong>
<ul>
<li>Direct from Anduril: If you receive an email from one of our recruiters, it will <em>only</em> come from an <code>@anduril.com</code> address.</li>
<li>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 <a href="mailto:contact@anduril.com">contact@anduril.com</a>. </li>
</ul>
</li>
<li>
<p><strong>Exercise Caution with Unsolicited Outreach:</strong> 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.</p>
</li>
<li>
<p><strong>What to Do If You Suspect Fraud:</strong> Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to <a href="mailto:contact@anduril.com">contact@anduril.com</a>. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.</p>
</li>
</ul>
</div>
<h3> </h3>
<h3><strong>Data Privacy</strong></h3>
<p><span>To view Anduril's candidate data privacy policy, please visit </span><span><span><a href="https://anduril.com/applicant-privacy-notice/" rel="noopener noreferrer ugc" target="_blank">https://anduril.com/applicant-privacy-notice/</a></span></span><span>.</span><span> </span></p>
<p> </p>
<p><span>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.</span></p></div>

Andurilindustries

Open jobs at Andurilindustries

Senior Machine Learning Engineer (Applied Intelligence)

Winter 2027 Research Engineer Co-op

Data Engineer, Infrastructure FinOps

Lead Manufacturing Engineer, Test Analytics

Staff Software Engineer, Stateful Systems

Working for Andurilindustries?

Featured companies