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Senior Computer Vision Engineer

$191k - $292k

Anduril Industries

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 Computer Vision Engineers on Anduril's Frontier AI team build edge-compatible systems that transform Lattice's complex multi-sensor inputs into accurate, actionable understanding of the world. We integrate ambitious ML and CV algorithms directly into the Lattice platform to increase the fidelity, accuracy, and usefulness of battlefield awareness. These systems improve the experience of Anduril's existing customers, aid in the scaling of our business to new customers, use-cases, and business lines, and they create high-quality snapshots of the world that autonomous and agentic systems can operate on top of. What You’ll Do Design, train, and deploy computer vision and perception models for edge-compatible, mission-critical environments Build multi-sensor perception systems that fuse imagery, video, and other sensor data into coherent views of the battlefield Improve the fidelity, accuracy, and robustness of Lattice's understanding of objects, activities, and environments across varied operational conditions Integrate state-of-the-art machine learning algorithms into production systems used by customers in real-world scenarios Develop mission-relevant evaluation frameworks, datasets, and benchmarks to measure perception performance in the field Partner closely with software, autonomy, product, and deployment teams to turn research ideas into operational capabilities Identify new perception and battlefield-understanding problems where advances in computer vision can unlock major product impact Required Qualifications BS, MS, or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field 5+ years of experience developing computer vision, perception, or machine learning systems in production or advanced research settings Strong experience with deep learning, object detection, and object tracking frameworks Strong programming skills in Python, with the ability to build reliable research and production workflows Strong desire to invent, implement, test, and deploy novel techniques that vastly improve upon state-of-the-art public methods to solve research problem specific to the defense space Experience training, evaluating, and iterating on vision models for detection, tracking, segmentation, classification, or sensor fusion tasks Experience deploying or optimizing ML systems for constrained, real-time, or edge compute environments Ability to work across the full lifecycle of applied ML, from problem formulation and data strategy through deployment and performance monitoring Eligible to obtain and maintain an active U.S. Secret security clearance Preferred Qualifications Advanced degree with a focus on computer vision, perception, robotics, or machine learning Experience with multi-modal or multi-sensor fusion systems Experience deploying deep learning models to embedded, edge, or air-gapped environments Familiarity with real-time perception systems for autonomous platforms, defense applications, or other safety-critical systems Experience building large-scale datasets, labeling pipelines, or benchmarking infrastructure for vision systems Experience working in high-ownership startup environments or defense technology organizations Prior experience with geospatial, ISR, EO/IR, radar, or other battlefield-relevant sensing modalities US Salary Range $191,000—$292,000 USD Benefits 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: 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. #J-18808-Ljbffr Anduril Industries

Vacancy posted 5 days ago
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