Senior Computer Vision Engineer, Space

Anduril Anduril · Defense · Costa Mesa, CA +3 · AFS : Space Engineering

Senior Computer Vision Engineer for Anduril's Space team, focusing on developing and integrating AI-powered computer vision subsystems for spacecraft operations, including navigation, perception, and autonomous maneuvering. The role involves algorithm design, ML integration, and ensuring the successful implementation and validation of CV systems for various space missions, requiring a strong background in C++, ML algorithms, and computer vision techniques.

What you'd actually do

  1. Propose and prototype innovative solutions to solve real world problems, leveraging the latest state-of-the-art techniques in the field
  2. Develop and maintain core libraries and runtime applications
  3. Integrate classical and geometric methods in computer vision with ML methods
  4. Work space vehicle CV software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with partners for successful implementation
  5. Develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives

Skills

Required

  • MS or PhD in Machine Learning, Robotics or Computer Science, Image Science with emphasis on Computer Vision
  • BS in Computer Science, Machine Learning, Electrical Engineering, or related field
  • Advanced professional experience developing and benchmarking ML algorithms on large-scale datasets
  • High proficiency in C++ development in a Linux environment
  • Experience in one or more of the following: Objection Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Natural Feature Tracking (NFT)
  • Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, Multi-band sensor processing, RGB-D and LIDAR Sensor Fusion
  • Ability to quickly understand and navigate complex systems and detailed requirements
  • Familiarity with terminal guidance, rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, and/or spacecraft/missile GNC
  • Clear communication and organizational skills including documentation and training material
  • Currently possesses and is able to maintain an active U.S. Top Secret security clearance

Nice to have

  • Experience with Matlab, Simulink, Python, Go, C++ and/or Linux systems
  • A desire to work on critical software and hardware designs in the space domain
  • Strong preference for candidates possessing computer vision, vision navigation, image processing, feature tracking, SLAM, Open CV, and NFT
  • Experience testing CV subsystems in laboratory environments that mimic the space environmental constraints
  • Experience with orbital mechanics and resident space object tracking capabilities
  • Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime
  • Experience with test

What the JD emphasized

  • MS or PhD in Machine Learning, Robotics or Computer Science, Image Science with emphasis on Computer Vision
  • Advanced professional experience developing and benchmarking ML algorithms on large-scale datasets
  • High proficiency in C++ development in a Linux environment
  • Experience in one or more of the following: Objection Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Natural Feature Tracking (NFT)
  • Experience in one or more of the following: Visual Odometry, SLAM, Multi-view Geometry, Structure from Motion, 3D Geometry, Discriminative Correlation Filters, Stereo, Neural 3D Reconstruction, Multi-band sensor processing, RGB-D and LIDAR Sensor Fusion
  • Currently possesses and is able to maintain an active U.S. Top Secret security clearance

Other signals

  • AI-powered operating system
  • advanced autonomy
  • AI, computer vision
  • sensor fusion
  • realtime, 3D command and control center
  • Space Domain Awareness
  • Space Control
  • Command and Control for U.S. military
  • fully integrated hardware and software systems
  • Lattice for Space Missions
  • modular payloads
  • growing threats in space
  • decisive advantage in this contested warfighting domain
  • perception subsystems
  • advanced processing platforms
  • navigation algorithms
  • flight software implementation
  • subsystem integration & test (I&T)
  • vehicle I&T
  • algorithm design
  • truth and physics modeling
  • scene rendering
  • simulation and analysis
  • spacecraft and space missions
  • LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking)
  • lead successful implementation, validation and CV operations
  • fleet of space vehicles
  • ongoing, funded programs
  • resilient, software-defined spacecraft systems
  • numerous mission threads
  • mission partners and customers
  • deploy reliable and robust capabilities
  • operationally-relevant fielding timelines
  • complex challenges across the DOD and IC
  • Propose and prototype innovative solutions
  • solve real world problems
  • latest state-of-the-art techniques
  • Develop and maintain core libraries and runtime applications
  • Integrate classical and geometric methods in computer vision with ML methods
  • Work space vehicle CV software and hardware subsystems
  • various spacecraft efforts
  • all orbital regimes
  • work closely with partners for successful implementation
  • Develop modern, software-defined approaches to autonomous spacecraft operations
  • maneuvering capabilities
  • successfully accomplish mission objectives
  • Develop appropriate test plans and procedures
  • validate the CV system
  • ground checkout, on-orbit commissioning and operations
  • Collaborate across multiple teams
  • plan, build, and test complex functionality
  • Coordinate with end-users, other operators and customers
  • turn needs into features
  • balancing user experience with engineering constraints
  • Support challenging schedules
  • ground testing, launch windows and on-orbit operations
  • spacecraft systems
  • Design of flight software and firmware, algorithms, and simulation products
  • Development of space vehicle autonomy tools
  • dynamic space operations
  • Test process development and execution
  • Define automated fault detection and responses
  • Provide hardware-in-the-loop and monte-carlo simulation capabilities