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.
We are hiring a simultaneous localization and mapping (SLAM) PhD Intern for Summer 2025! This is a paid, in-person, 12 week internship based out of Costa Mesa, CA.
Anduril is seeking a skilled navigation, localization, and positioning PhD candidate with strong experience in robotics-focused pose localization techniques. This role emphasizes the design and implementation of Inertial Navigation Systems (INS) while leveraging sensor fusion algorithms and pose estimation methods for precise navigation of robotic vehicles.
WHAT YOU’LL DO
- Design and develop algorithms for real-time navigation, including obstacle avoidance systems in a nominal, degraded and contested/adversarial environment (jamming, spoofing etc)
- Implement sensor fusion techniques to integrate data from multiple sensors such as GNSS, IMU, LIDAR, radar, sonar and cameras to enhance the accuracy and robustness of vehicle navigation where applicable
- Develop simulation and testing environment to evaluate the performance of Navigation and Localization solutions under different environmental conditions and scenarios
- Optimize and design fault tolerant algorithms for computational efficiency and robustness to ensure reliable operation in challenging and contested environments
- Drive evaluation and integration of advanced alternative navigation aiding sources
- Design, develop, integrate and test inertial navigation systems (INS), GNSS products, visual navigation, and other related technologies for autonomous UAS.
- Develop algorithms for navigation, localization, and positioning systems, including Kalman filters (Extended-KF, Unscented-KF, Ensemble-KF, Iterated-EKF, Gaussian Sum Filter) and other estimation methods using various programming languages (C++ and Python preferred)
- Architect and improve calibration procedures for sensor suites used in navigation systems
- Collaborate with multidisciplinary teams to integrate navigation solutions into overall vehicle systems
- Conduct rigorous simulation and testing for validation of navigation algorithms and systems performance
- Stay up-to-date with the latest developments and research in navigation technologies
REQUIRED QUALIFICATIONS:
- Must be pursuing a PhD degree in Aerospace Engineering, Electrical Engineering, Computer Science, Robotics or a related field
- Extensive experience with MATLAB and Simulink
- Proven experience in developing Navigation and Localization algorithms for autonomous vehicles, robotics, drones, maritime vehicles or similar application
- Experience with sensor calibration, sensor fusion, state estimation, and SLAM (Simultaneous Localization and Mapping) techniques
- Experience with navigation, localization, and positioning systems design and development
- Deep expertise in Kalman filtering, Extended Kalman filtering, and other estimation techniques.
- Knowledge of sensor fusion and data integration techniques
- Strong problem-solving and analytical skills
- Experience applying covariance analysis techniques to optimize navigation system performance, error modeling, and system uncertainty assessments, and requirements methods
- U.S. Person status is required as this position needs to access export controlled data.
PREFERRED QUALIFICATIONS:
- Experience applying real-time pose localization algorithms from robotics to enhance the accuracy and robustness of aerospace vehicle navigation.
- Experience in developing navigation and localization solutions
- Have a bias for action. If you see a problem, you want to solve and fix it
- Be naturally curious about the technologies and tools you use
- Low-ego, high ownership, and mission oriented
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:
- Platinum Healthcare Benefits: For U.S. roles, we offer top tier platinum coverage (medical, dental, vision) that are 100% covered by Anduril for you and 90% covered for your dependents.
- For UK roles, Private Medical Insurance (PMI): Anduril will cover the full cost of the insurance premium for an employee and dependents.
- For AUS roles, Private health plan through Bupa: Coverage is fully subsidized by Anduril.
- Basic Life/AD&D and long-term disability insurance 100% covered by Anduril, plus the option to purchase additional life insurance for you and your dependents.
- Extremely generous company holiday calendar including a holiday hiatus in December, and highly competitive PTO plans.
- 16 weeks of paid Caregiver & Wellness Leave to care for a family member, bond with your baby, or tend to your own medical condition.
- Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting.
- Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more. Additional work-life services, such as free legal and financial support, available to you as well.
- A professional development stipend is available to all Andurilians.
- Daily Meals and Provisions: For many of our offices this means breakfast, lunch and fully stocked micro-kitchens.
- Company-funded commuter benefits available based on your region.
- Relocation assistance (depending on role eligibility).
- 401(k) retirement savings plan - both a traditional and Roth 401(k). (US roles only)
The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.
Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you!
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
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Anduril is a defense products company. Unlike most defense companies, we don’t wait for our customers to tell us what they need. We identify problems, privately fund our R&D and sell finished products off the shelf. Ideas are turned into deployed capabilities in months, not years.
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