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Perception Engineer, Machine LearningAnduril Industries • Seattle, Washington, United States
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Perception Engineer, Machine Learning

Anduril Industries
  • US
    Seattle, Washington, United States
  • US
    Seattle, Washington, United States
Jetzt Bewerben

Über

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.
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 Role
We are seeking a Machine Learning Perception Engineer to join our Perception team in Seattle, where we develop production perception systems for autonomous Unmanned Aerial Vehicles (UAVs), Unmanned Surface Vessels (USVs), and Unmanned Ground Vehicles (UGVs) operating across land, sea, and air. Our team is small, agile, and equal parts research and deployment, we push state-of-the-art perception models into the field across multiple business lines and demanding mission environments .
This is a hands-on role for an individual who is fluent in current research trends and equally focused on what it takes to make models maintainable, observable, and reliable once they're deployed on hardware. You will own perception capabilities end-to-end: from data preparation and model design through deployment, monitoring for performance drift in the field, and continuous improvement. Roughly half your time will be spent on new model development and half on hardening and improving existing pipelines.
If you are passionate about tackling complex technical challenges in computer vision and perception and want to see your work flying, sailing, and driving in the real world, we encourage you to apply. What You'll Do Own perception capabilities end-to-end including detection, classification, segmentation, depth estimation, scene description, tracking, sensor fusion, and calibration across our UAV, USV, and UGV platforms . Bring state-of-the-art models into production, survey, prototype, and integrate the latest research while ensuring deployments are maintainable and observable in the field . Optimize and deploy models to embedded hardware such as NVIDIA Jetson/Orin-class platforms, meeting real-time latency budgets on the order of 30 ms per frame . Architect and improve our CI/CD pipelines. We use systems to continuously ingest data, label, and train new models. You would have a direct role in shaping these systems. Onboard new sensor modalities and features end-to-end, from cradle to grave, whether that's adding OCR metadata extraction to our pipeline or integrating a new LiDAR point cloud source. Example sensors includes EO, IR, stereo, radar, and LiDAR . Train models in the cloud and on-prem, deploy to edge hardware, and maintain a roughly 50/50 split between edge and cloud inference workloads . Monitor deployed models for performance divergence and build the tooling needed to detect and respond to drift in the field . Collaborate across teams with hardware, systems, and program engineers to ship perception capabilities into production systems. Required Qualifications Education: Bachelor's degree in Computer Science, Electrical Engineering, Robotics, Machine Learning, or a related field. Master's degree or higher preferred. Experience: 5+ years of industry experience building and deploying perception or computer vision systems in production. Robotics experience, you have shipped perception software onto real robotic platforms (drones, ground vehicles, marine vehicles, manipulators, or similar) . Strong proficiency in Python for model development and training, plus production experience in C++ and/or Rust for real-time, on-hardware deployment . Hands-on experience with PyTorch and OpenCV. TensorFlow experience is also welcome. Demonstrated track record of designing, refining, and deploying ML models into production, including ownership of maintainability and field monitoring. Model optimization for embedded inference, quantization, pruning, TensorRT, and ONNX . Experience with classical computer vision including camera calibration, homography, multi-view geometry, and feature-based methods. Experience with structured and unstructured data and integrating new sensor modalities. Familiarity with CI/CD practices and writing and maintaining automated tests around ML pipelines. End-to-end ownership mindset, you maintain what you build and design it to be maintainable . Cross-team collaboration skills U.S. Citizen and eligible to obtain and maintain a U.S. security clearance . Preferred Qualifications Master's or PhD in Computer Vision, Machine Learning, Robotics, or a related field. Experience with SLAM Experience with AWS training infrastructure, on-prem GPU clusters, and tools such as Weights & Biases, Flyte, and RunAI . Experience with synthetic data generation and sim-to-real workflows . CUDA / GPU programming experience . Background in defense, aerospace, or autonomous systems . Background in robotics perception for drones or marine vehicles . Experience with real-time embedded vision systems . Leadership instincts, comfortable mentoring teammates or contributing to architecture and roadmap conversations. Publications or contributions to computer vision research or open-source projects . Logistics Location & Work Model: On-site in Seattle, WA. Occasional travel to events and to our Costa Mesa, CA headquarters several times per year. Employment Type: Full-time. Clearance: U.S. Citizenship required; must be eligible to obtain and maintain a U.S. security clearance .
US Salary Range
$166,000-$220,000 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
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 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.
  • Seattle, Washington, United States

Sprachkenntnisse

  • English
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