The Senior Computer Vision Engineer will be responsible for proposing and prototyping innovative solutions to solve real-world problems, developing and maintaining core libraries and runtime applications, integrating classical and geometric methods in computer vision with ML methods, and working with space vehicle CV software and hardware subsystems for various spacecraft efforts in all orbital regimes.

The successful candidate will have a Master's or Ph.D. in Machine Learning, Robotics, or Computer Science, with a strong background in computer vision and machine learning. They will also have experience in one or more of the following: objection detection, object tracking, instance segmentation, semantic segmentation, semantic change detection, natural feature tracking (NFT), 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.

The Senior Computer Vision Engineer will work closely with related teams, including Sensors, GNC, Avionics, Systems, Flight Software, Mission Operations, and Ground Software, to develop and implement computer vision algorithms for various spacecraft efforts in all orbital regimes.

The ideal candidate will have excellent communication and organizational skills, including documentation and training material, and will be able to work effectively in a fast-paced environment with tight deadlines.

The salary range for this role is $191,000-$253,000 USD, and highly competitive equity grants are included in the majority of full-time offers.

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The computer vision engineering team will work closely with related teams, including Sensors, GNC, Avionics, Systems, Flight Software, Mission Operations, and Ground Software. The Computer Vision Engineer will work algorithm design, truth and physics modeling, scene rendering, simulation and analysis for a wide variety of spacecraft and space missions to include but not limited to LEO, MEO, GEO, Reentry, and RPOD (Rendezvous Proximity Operations and Docking).

The CV Engineer will help lead successful implementation, validation and CV operations of Anduril’s fleet of space vehicles. This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

The position requires a strong background in computer vision, machine learning, and software development, with experience in developing and implementing computer vision algorithms for space-based applications. The ideal candidate will have a deep understanding of computer vision principles, including object detection, tracking, and recognition, as well as experience with software development in languages such as C++ and Python.

Key Responsibilities:

• Propose and prototype innovative solutions to solve real-world problems, leveraging the latest state-of-the-art techniques in the field
• 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 for various spacecraft efforts in all orbital regimes and work closely with partners for successful implementation
• Develop modern, software-defined approaches to autonomous spacecraft operations with maneuvering capabilities to successfully accomplish mission objectives
• Develop appropriate test plans and procedures to validate the CV system during ground checkout, on-orbit commissioning and operations
• Collaborate across multiple teams to plan, build, and test complex functionality
• Coordinate with end-users, other operators and customers to turn needs into features while balancing user experience with engineering constraints
• Support challenging schedules during ground testing, launch windows and on-orbit operations of the spacecraft systems
• Design of flight software and firmware, algorithms, and simulation products
• Development of space vehicle autonomy tools for dynamic space operations
• Test process development and execution
• Define automated fault detection and responses
• Provide hardware-in-the-loop and monte-carlo simulation capabilities

Required Qualifications:

• 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

Preferred Qualifications:

• 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 testing/validation leveraging FlatSats, Hardware-in-the-Loop testbeds and digital spacecraft simulators through nominal and fault scenarios
• Experience with computer vision and perception algorithms to support GNC operations
• Experience developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits

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Your expertise in computer vision algorithms, combined with your understanding of robotics principles, will be crucial in solving a wide variety of challenges involving visual perception, SLAM, motion planning, controls, and state estimation. This role requires not only technical expertise in computer vision and robotics but also the ability to make pragmatic engineering tradeoffs, considering the unique constraints of aerial platforms.

Your work will directly contribute to the seamless integration of Anduril's products, achieving critical outcomes in autonomous operations. This position demands strong systems-level knowledge and experience, as you'll be working on the intersection of computer vision, robotics, and autonomous systems.

If you are passionate about pushing the boundaries of computer vision in robotics, possess a 'Whatever It Takes' mindset, and can execute in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions, then this role is for you.

Responsibilities:

• Work at the intersection of 3D perception and computer vision, developing robust algorithms that power real-time decision-making for autonomous aerial systems.

• Develop and implement advanced structure from motion and SLAM algorithms to create accurate 3D models from multiple camera inputs in real-time.

• Integrate perception outputs with path planning algorithms to enable autonomous navigation in complex, unstructured environments.

• Design experiments, data collection efforts, and curate training/evaluation sets to develop insights for both internal purposes and customers.

• Collaborate closely with robotics, software, and hardware teams to integrate perception algorithms into autonomous aerial systems.

• Work with vendors and government stakeholders to advance the state-of-the-art in perception and world modeling for autonomous aerial systems.

Required Qualifications:

• BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field.

• Strong knowledge of 3D computer vision concepts, including multi-view geometry, camera models, photogrammetry, depth estimation, and 3D reconstruction techniques.

• Fluency in standard domain libraries (numpy, opencv, pytorch, etc).

• Proven understanding of data structures, algorithms, concurrency, and code optimization.

• Experience working with Python, PyTorch, or C++ programming languages.

• Experience deploying software to end customers, internal or external.

• Must be willing to travel 25%.

• Eligible to obtain an active U.S. Secret security clearance.

Preferred Qualifications:

• MS or PhD in Robotics, Computer Science, Engineering, or related field.

• Experience with perception systems for aerial robotics or other highly dynamic platforms.

• Experience with real-world sensor integrations, including LiDAR, RGB-D cameras, IR cameras, stereo cameras, or TOF cameras.

• Experience with GPU / CUDA programming for accelerated computer vision processing.

• Knowledge of path planning algorithms and their integration with perception systems in dynamic environments.

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You will support the efforts of audio software engineers in developing great tools to author and implement audio assets. You will also contribute to the creation, development, and design of the audio system at an innovative level.

In addition to your technical skills, you will have a passion for race cars, audio production, and gaming/simulation. You will work in a collaborative environment and be part of a talented team building high-quality games.

Responsibilities:

• Develop sonic engine models from processing raw audio data to implementation
• Work closely with game developers on racing titles for various platforms
• Collaborate with simulator engineers, sound designers, and recordists to create sound assets
• Support the efforts of audio software engineers in developing great tools
• Contribute to the creation, development, and design of the audio system
• Work in a collaborative environment and be part of a talented team

Requirements:

• 5+ years professional sound design background
• Experience developing sonic models (static, modulated, granular, and loop-based) in the gaming space
• Proficient skills in using DAW, DSP, and audio plug-ins
• Experience with FMOD Studio or equivalent audio middleware
• Experience mixing different channels of audio to achieve pleasant results
• Experience working to schedules with clear communication
• Use of build tools and test sounds in bench testing apps and developer environments that require optimized system design

Preferred skills:

• Experience working with DSPs (e.g., granular synthesis, convolution reverb, and spatial positioning)
• Ability to learn new DAWs, plugins, or bespoke audio tools
• Expertise in editing audio data, multitrack markups, and making sonic models using Adobe Audition
• Implementation, testing, and perfecting the fidelity of the audio mix
• Some field recording experience
• Experience shipping a game title as a sound designer or technical sound designer
• Knowledge of and experience working with audio formats such as Ambisonics, Binaural, stereo, 32-Bit float, and Mid/Side
• Awareness of Ray tracing or 3D positioning of sound
• Knowledge of audio engineering and sound-related physics
• An interest in motorsports and cars
• A passion for gaming or simulation
• Experience working in a collaborative environment

Benefits and Compensation:

• Competitive pay and benefits
• Health, dental, vision, and life insurance
• 401(k) and discretionary employer match
• Paid time off (vacation, personal, sick, and holidays)
• Opportunity to be part of a talented team building high-quality, immersive games for players worldwide

Location, Working Conditions, and Eligibility:

• This position is a full-time remote within the United States
• Candidates must be legally authorized to work in the United States at the time of application
• We are unable to sponsor visas or work permits for this role

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