Anduril Industries

Anduril Industries

Anduril Industries is an American defense technology firm that specializes in developing advanced autonomous systems for integrated awareness and security across land, sea, and air, utilizing its proprietary Lattice platform to enhance intelligence, su...

Aerospace & Defense
1K-5K
Founded 2017
$2200M raised

Description

  • Design and implement deep learning and reinforcement learning algorithms to improve sensor perception, prediction, and decision-making for autonomous vehicles.
  • Design and implement integrated agentic AI models to solve end-user autonomous systems workflows and enable multi-modal interaction patterns.
  • Develop prototypes and iterate on research approaches to expand autonomous system capabilities, including unproven/novel methods.
  • Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems, simulations, and real-world platforms.
  • Conduct research and experimentation on reinforcement learning strategies and deep architectures, iterate experimental designs, and evaluate performance with quantitative metrics.
  • Utilize real-world and synthetic data and scalable distributed training pipelines to improve model robustness and generalization.
  • Build, test, and deploy capabilities in real-world environments, including supporting simulation and validation workflows and reducing operator burden via realtime monitoring and recommendations.

Requirements

  • Sophisticated knowledge of large language models (LLMs) with understanding of how they work and how they're applied.
  • Solid experience with reinforcement learning methods and their application to autonomous systems.
  • Proven experience shipping products end-to-end from research/prototype to production.
  • Experience with simulation or real-world validation for autonomous vehicles (highly desirable).
  • Degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience (Master’s or PhD preferred).
  • Eligible to obtain and maintain an active U.S. Top Secret security clearance.
  • Willingness to travel up to 40%+ of the time to build, test, and deploy capabilities in the real world.
  • Proven deep learning research and development experience in generative AI (e.g., diffusion models, autoregressive models).
  • Experience processing multi-modal sensor data (cameras, LiDAR, radar) and familiarity with motion planning or related robotics software engineering.
  • Familiarity with MLOps best practices including model versioning and reproducible research pipelines, strong Python skills, and familiarity with C/C++ as a plus.
  • Track record of novel applications and community contribution (first-author publications, peer-reviewed conferences, open-source contributions) is preferred.

Benefits

  • US salary range $254,000–$336,000 (base salary estimate); competitive equity grants included in most full-time offers.
  • Comprehensive healthcare: US — medical, dental, and vision plans at little to no cost; UK & AUS — company covers full cost of medical insurance premiums for you and your dependents; IE — annual contribution toward private health insurance for you and dependents.
  • Company-covered life and disability insurance (income protection).
  • Generous time off with a December holiday hiatus and caregiver & wellness leave for family or medical needs.
  • Family planning and parenting support including coverage for fertility treatments (IVF, preservation), adoption, and gestational carriers.
  • 24/7 mental health resources including therapy and life coaching, plus legal and financial support services.
  • Annual reimbursement for professional development, company-funded commuter benefits (region dependent), and relocation assistance when eligible.
  • Retirement savings plans: US — 401(k), Roth, and after-tax (mega backdoor Roth) options; UK & IE — pension plan with employer match; AUS — superannuation plan.

Interested in this position?

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