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  <jobs>
    <job>
      <externalid>51eda545-3f5</externalid>
      <Title>AI Chief Engineering Lead</Title>
      <Description><![CDATA[<p>We are seeking a Generative AI Chief Engineering Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning.</p>
<p>In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities.</p>
<p>Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns.</p>
<p>You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Develop Advanced Agentic Software</li>
<li>Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles</li>
<li>Apply Agentic Reasoning</li>
<li>Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.</li>
<li>End-to-End System Integration</li>
<li>Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.</li>
<li>Research &amp; Experimentation</li>
<li>Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.</li>
<li>Data-Driven Innovation</li>
<li>Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.</li>
</ul>
<p><strong>Required Qualifications</strong></p>
<ul>
<li>Sophisticated knowledge of LLM&#39;s with an understanding of how they work and how they&#39;re applied</li>
<li>Solid experience with reinforcement learning methods and their application to autonomous systems.</li>
<li>Proven experience of shipping products end to end</li>
<li>Experience with simulation or real-world validation for autonomous vehicles is highly desirable.</li>
<li>A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience</li>
<li>Eligible to obtain and maintain an active U.S. Top Secret security clearance</li>
</ul>
<p><strong>Preferred Qualifications</strong></p>
<ul>
<li>PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience</li>
<li>Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.</li>
<li>Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.</li>
<li>Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).</li>
<li>Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.</li>
<li>Strong programming skills in Python and familiarity with C/C++ is a plus.</li>
<li>General software engineering experience solving motion planning or related robotics problems.</li>
</ul>
<p><strong>Salary and Benefits</strong></p>
<p>The salary range for this role is $254,000-$336,000 USD. Highly competitive equity grants are included in the majority of full-time offers; and are considered part of Anduril&#39;s total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:</p>
<ul>
<li>Healthcare Benefits - US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.</li>
<li>UK &amp; AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.</li>
<li>IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.</li>
<li>Income Protection: Anduril covers life and disability insurance for all employees.</li>
<li>Generous time off: Highly competitive PTO plans with a holiday hiatus in December.</li>
<li>Caregiver &amp; Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.</li>
<li>Family Planning &amp; Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.</li>
<li>Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching.</li>
<li>Additional work-life services, such as legal and financial support, are also available.</li>
<li>Professional Development: Annual reimbursement for professional development.</li>
<li>Commuter Benefits: Company-funded commuter benefits based on your region.</li>
<li>Relocation Assistance: Available depending on role eligibility.</li>
<li>Retirement Savings Plan - US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.</li>
<li>UK &amp; IE Roles: Pension plan with employer match.</li>
<li>AUS Roles: Superannuation plan.</li>
</ul>
<p><strong>Protecting Yourself from Recruitment Scams</strong></p>
<p>Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We&#39;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>
<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>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.</li>
<li>Please always verify communications:</li>
</ul>
<p>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&#39;s authenticity by reaching out to contact@anduril.com. 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&#39;s email domain is @anduril.com before providing any personal information or clicking on links.</p>
<p>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 contact@anduril.com.</p>
<p>Your proactive approach in protecting yourself from recruitment scams is greatly appreciated.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>executive</Experiencelevel>
      <Workarrangement>remote</Workarrangement>
      <Salaryrange>$254,000-$336,000 USD</Salaryrange>
      <Skills>Sophisticated knowledge of LLM&apos;s, Reinforcement learning methods, Autonomous systems, Simulation or real-world validation for autonomous vehicles, Top Secret security clearance, PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, Deep learning research and development, Generative AI, Multi-modal sensor data processing, ML Ops best practices</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anduril Industries</Employername>
      <Employerlogo>https://logos.yubhub.co/anduril.com.png</Employerlogo>
      <Employerdescription>Anduril Industries is a defense technology company that transforms U.S. and allied military capabilities with advanced technology.</Employerdescription>
      <Employerwebsite>https://www.anduril.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/andurilindustries/jobs/5102282007</Applyto>
      <Location>Remote</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>6170c199-145</externalid>
      <Title>Generative AI Integration Engineer</Title>
      <Description><![CDATA[<p>Anduril Industries is seeking a Generative AI Integration Engineer to join their team. As a key member of the Mission Autonomy Engineering team, you will design, implement, and evolve the means by which Agents interact with classical software systems. Your primary responsibility will be to contribute to test and eval infrastructure, deployment software, agent tool calling, prompt engineering, and other agent techniques in order to achieve best-in-class performance with frontier and edge deployed models.</p>
<p>The ideal candidate will have a strong background in computer science, robotics, machine learning, or a related field, and experience integrating agents into classical systems. They will also have a proven track record of novel application and experience including first-author publications, participation in peer-reviewed conferences, contribution to open-source projects, and demonstrated contribution to the ML and AI community.</p>
<p>In addition to your technical expertise, you will be a strong communicator and collaborator, able to work effectively with cross-functional teams to drive results. You will also be comfortable working in a fast-paced environment and adapting to changing priorities.</p>
<p>If you are a motivated and experienced engineer looking to join a dynamic team and contribute to cutting-edge technology, we encourage you to apply.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$191,000-$253,000 USD</Salaryrange>
      <Skills>Deep knowledge of the implementation and use of LLMs, Experience integrating agents into classical systems, Strong programming skills in Python or other core languages (Java, Go etc), PhD or Master&apos;s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience, Experience with simulation or real-world validation for autonomous vehicles, Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community, Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar), Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines, Familiarity with C/C++</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Anduril Industries</Employername>
      <Employerlogo>https://logos.yubhub.co/anduril.com.png</Employerlogo>
      <Employerdescription>Anduril Industries is a defense technology company that develops and deploys advanced technology to transform U.S. and allied military capabilities.</Employerdescription>
      <Employerwebsite>https://anduril.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/andurilindustries/jobs/4792948007</Applyto>
      <Location>Costa Mesa, California, United States</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
  </jobs>
</source>