ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Tracking Software Engineer to join our rapidly growing team in Washington DC. In this role, you will be responsible for developing 2D and 3D tracking algorithms that maintain custody of space objects, processing sensor detections and messages into actionable tracks for space situational awareness missions. You will design and implement multi-target tracking systems using advanced state estimation and data association techniques, develop physics-based models to validate performance, and work closely with software teams to deploy your algorithms into operational systems. This will require deep expertise in tracking algorithms, state estimation (Kalman filtering), data association methods (JPDA, MHT), proficiency in MATLAB, Python, and C++, and experience with modeling and simulation. If you are someone who enjoys solving challenging tracking problems involving clutter, maneuvering targets, contested sensing environments, and real-time mission constraints then this role is for you.

WHAT YOU’LL DO

• Perform systems engineering and algorithm development tasks supporting space and missile defense tracking missions
• Design and implement advanced object tracking and state estimation algorithms, including track initiation, maintenance, correlation, and termination
• Develop and evaluate multi-target tracking and multi-sensor fusion approaches for EO/IR, RF, or hybrid sensor architectures
• Implement advanced data association techniques including JPDA (Joint Probabilistic Data Association), MHT (Multiple Hypothesis Tracking), nearest neighbor, and track-to-track fusion methods
• Apply and refine data association techniques, such as: nearest neighbor and probabilistic association; Joint Probabilistic Data Association (JPDA); Multiple Hypothesis Tracking (MHT); and track-to-track fusion methods
• Build physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate tracking performance
• Conduct performance analysis, trade studies, and simulation-based assessments of tracking robustness under challenging conditions (maneuvering targets, clutter, countermeasures, degraded sensing)
• Collaborate with software engineers to transition tracking algorithms from MATLAB/Python prototypes to production C/C++ code optimized for real-time operational systems
• Support the systems engineering lifecycle including requirements decomposition, trade studies on tracking approaches, verification and validation planning, and design reviews (SRR, PDR, CDR)
• Prepare technical documentation and briefings for design reviews (SRR, PDR, CDR) and customer engagements

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or related technical field
• 5+ years of experience designing, implementing, and testing multi-target tracking algorithms for aerospace, defense, or autonomous systems
• Strong theoretical and practical experience with state estimation techniques, including Kalman Filters (EKF, UKF), multi-target tracking concepts, and Interacting Multiple Model (IMM) filters
• Experience developing tracking algorithms that handle track initiation, maintenance, correlation, and termination in operational systems
• Proficiency in algorithm development using MATLAB and/or Python with demonstrated experience transitioning algorithms to C++ for production deployment
• Experience with modeling, simulation, and testing workflows including Monte Carlo analysis, sensor data playback, or hardware-in-the-loop environments
• Ability to work collaboratively with software engineers, systems engineers, and test teams to integrate tracking algorithms into operational systems

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• Experience in one or more of the following domains: missile defense or space systems; EO/IR or RF sensors; kill vehicles, interceptors, or countermeasures
• Experience handling challenging tracking scenarios including track fragmentation, ghost tracks, sensor outages, and high-clutter environments
• Familiarity with real-time system constraints, embedded systems, or edge compute optimization
• Demonstrated experience working within the systems engineering design cycle, including requirements decomposition and traceability, algorithm design and trade studies, verification and validation (V&V;), and documentation and design reviews (SRR, PDR, CDR)
• Experience with MBSE tools (Cameo, Rhapsody, DOORS)

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Senior Tracking Software Engineer to join our rapidly growing team in Washington DC. In this role, you will lead the development of advanced 2D and 3D tracking algorithms that maintain custody of space objects, processing sensor detections and messages into actionable tracks for space situational awareness missions. As a senior member of the team, you will architect and implement sophisticated multi-target tracking systems using cutting-edge state estimation and data association techniques, develop physics-based models to validate performance, and mentor engineers while working closely with software teams to deploy your algorithms into operational systems. You will drive technical decisions, lead design reviews, and serve as a subject matter expert in tracking algorithms. This will require deep expertise in tracking algorithms, state estimation (Kalman filtering), data association methods (JPDA, MHT), proficiency in MATLAB, Python, and C++, experience with modeling and simulation, and demonstrated technical leadership. If you are someone who enjoys solving challenging tracking problems involving clutter, maneuvering targets, contested sensing environments, and real-time mission constraints while guiding others to do the same then this role is for you.

WHAT YOU’LL DO

• Lead systems engineering and algorithm development tasks supporting space and missile defense tracking missions, providing technical direction and guidance to team members
• Architect and implement advanced object tracking and state estimation algorithms, including track initiation, maintenance, correlation, and termination
• Design and evaluate multi-target tracking and multi-sensor fusion approaches for EO/IR, RF, or hybrid sensor architectures
• Lead the implementation of advanced data association techniques including JPDA (Joint Probabilistic Data Association), MHT (Multiple Hypothesis Tracking), nearest neighbor, and track-to-track fusion methods
• Drive innovation in data association techniques, exploring novel approaches and optimizations for complex operational scenarios
• Build sophisticated physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate tracking performance
• Lead performance analysis, trade studies, and simulation-based assessments of tracking robustness under challenging conditions (maneuvering targets, clutter, countermeasures, degraded sensing)
• Collaborate with and mentor software engineers to transition tracking algorithms from MATLAB/Python prototypes to production C/C++ code optimized for real-time operational systems
• Drive the systems engineering lifecycle including requirements decomposition, trade studies on tracking approaches, verification and validation planning, and design reviews (SRR, PDR, CDR)
• Lead technical documentation efforts and present at design reviews (SRR, PDR, CDR) and customer engagements
• Mentor engineers in tracking algorithm development, state estimation theory, and best practices
• Serve as a technical subject matter expert for tracking systems, advising program leadership on algorithm performance, risks, and opportunities

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or related technical field
• 8+ years of experience designing, implementing, and testing multi-target tracking algorithms for aerospace, defense, or autonomous systems
• Demonstrated technical leadership in tracking algorithm development, including leading design efforts, mentoring team members, or serving as a subject matter expert
• Deep theoretical and practical expertise with state estimation techniques, including Kalman Filters (EKF, UKF), multi-target tracking concepts, and Interacting Multiple Model (IMM) filters
• Proven experience developing tracking algorithms that handle track initiation, maintenance, correlation, and termination in operational systems
• Expert proficiency in algorithm development using MATLAB and/or Python with demonstrated experience transitioning algorithms to C++ for production deployment
• Extensive experience with modeling, simulation, and testing workflows including Monte Carlo analysis, sensor data playback, or hardware-in-the-loop environments
• Strong ability to work collaboratively with software engineers, systems engineers, and test teams to integrate tracking algorithms into operational systems
• Excellent communication skills with experience presenting technical concepts to diverse audiences including engineers, program managers, and customers

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• 10+ years of experience in tracking algorithm development for defense or aerospace applications
• Experience in one or more of the following domains: missile defense or space systems; EO/IR or RF sensors; kill vehicles, interceptors, or countermeasures
• Extensive experience handling challenging tracking scenarios including track fragmentation, ghost tracks, sensor outages, and high-clutter environments
• Deep familiarity with real-time system constraints, embedded systems, or edge compute optimization
• Demonstrated experience leading efforts within the systems engineering design cycle, including requirements decomposition and traceability, algorithm design and trade studies, verification and validation (V&V), and documentation and design reviews (SRR, PDR, CDR)
• Experience with MBSE tools (Cameo, Rhapsody, DOORS)
• Experience with advanced tracking techniques such as Random Finite Set (RFS) methods, Probability Hypothesis Density (PHD) filters, or machine learning-enhanced tracking
• Publication record in peer-reviewed journals or conferences related to tracking, state estimation, or sensor fusion
• Experience briefing and interfacing with government customers (DoD, IC, or similar)
• Track record of delivering tracking solutions into operational systems or fielded products

ABOUT THE TEAM
The Discovery team at Anduril is at the forefront of incubating and maturing high-potential, software-defined, AI-native offerings that meet the toughest, newest challenges across hardware, software, space, and cyber domains. We're the architects of mission autonomy and mesh networking, delivering scalable hardware solutions that meet some of the most urgent national security needs. By working hand-in-hand with elite teams in Perception, AI, Motion Planning, Hardware, Test Engineering, Space, Networking, and Vehicle hardware, we craft cutting-edge, end-to-end systems that redefine mission success.

ABOUT THE JOB

Anduril’s Discovery business line is seeking a talented Systems Engineer to join our rapidly growing team in Washington, DC. In this role, you will be responsible for managing Architecture & Requirements for next generation air and missile defense systems. You will be ensuring requirements and architecture traceability through test and evaluations critical to the fire-control certification processes. If you are someone who thrives in a fast-paced, dynamic environment and has a passion for contributing to national security, then this role is for you!

WHAT YOU’LL DO

• Interface with stakeholders including internal programs and external customers.
• Assist in developing a robust requirements and architecture management plan.
• Develop artifacts based on stakeholder needs and work closely with functional areas to ensure artifacts are complete and accurate. Model Artifacts will often be contractual deliverables and require demonstration at stakeholder meetings and events.
• This role will be critical proving that Anduril offers real Systems Engineering and Mission Systems Integration capabilities.
• Lead and develop requirements and architecture products that provide full traceability, and configuration is controlled and managed across related Fire-Control programs.
• Participate in the development of our Digital and Systems Engineering Strategy and Implementation.
• Develop a deep understanding of transformational value of Anduril platforms, autonomy, simulation, and perception products through the creation and maintenance of systems engineering artifacts.

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• B.S. in aerospace, mechanical, computer science or similar engineering or technical field.
• 5+ years Systems Engineering Experience across the life cycle. The more, the better.
• Test experience preferably missile defense and space related.
• Understanding of Fire-Control systems and required safety, and hazard mitigation practices.
• Basic knowledge of reliability engineering concepts and practices.
• Experience with systems testing and evaluation methodologies.
• Experience with Systems Engineering, Requirements Elicitation and Management, Integration, and Test Activities on complex systems - DoD Weapon Systems, Space Systems, etc...
• Experience with SysML, DoDAF, UAFP, or similar.
• Experience developing various model based system engineering artifacts - Operational Viewpoints, System Viewpoints, activity diagrams, use case diagrams, BDDs, IBDs, parametric diagrams, etc...
• Experience with Cameo MagicDraw or similar systems engineering software (Rhapsody, SparxEA, etc...).
• Experience with Digital Engineering workflows and Integrated Modeling Environments (i.e. Teamwork Cloud).
• Outstanding communication skills to include presentation of developed artifacts.
• Experience generating and tracking metrics.
• Experience creating and improving processes.

PREFERRED QUALIFICATIONS

• Experience with modeling of weapon systems, and threat scenarios.
• Knowledge of reliability prediction techniques and failure mode analysis.
• Experience with test planning, execution, and data analysis for complex systems.
• Experience Cameo Simulation Toolkit plugin for Cameo MagicDraw.
• Experience with AFSIM, and Model Based Systems Engineering integrations.
• Proficiency with Mathworks products (MATLAB, SIMULINK etc.).

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB 

We are looking for a Computer Vision Engineer to join our rapidly growing team in Washington DC. In this role, you will be responsible for working on and understand the design of all perception subsystems to include but not limited to hardware sensors and advanced processing platforms, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. 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.

WHAT YOU’LL DO

• 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

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB 

We are looking for a Computer Vision Engineer to join our rapidly growing team in Costa Mesa, CA. In this role, you will be responsible for working on and understand the design of all perception subsystems to include but not limited to hardware sensors and advanced processing platforms, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. 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.

WHAT YOU’LL DO

• 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

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB 

We are looking for a Senior Computer Vision Engineer to join our rapidly growing team in Washington DC. In this role, you will be responsible for working on and understand the design of all perception subsystems to include but not limited to hardware sensors and advanced processing platforms, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. 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.

WHAT YOU’LL DO

• 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

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB 

We are looking for a Senior Computer Vision Engineer to join our rapidly growing team in Costa Mesa, CA. In this role, you will be responsible for working on and understand the design of all perception subsystems to include but not limited to hardware sensors and advanced processing platforms, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. 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.

WHAT YOU’LL DO

• 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

ABOUT THE TEAM

The Discovery team at Anduril is at the forefront of incubating and maturing high-potential, software-defined, AI-native offerings that meet the toughest, newest challenges across hardware, software, space, and cyber domains. We're the architects of mission autonomy and mesh networking, delivering scalable hardware solutions that meet some of the most urgent national security needs. By working hand-in-hand with elite teams in Perception, AI, Motion Planning, Hardware, Test Engineering, Space, Networking, and Vehicle hardware, we craft cutting-edge, end-to-end systems that redefine mission success.

ABOUT THE JOB

As a Staff Modeling and Simulation Engineer, you will own the understanding and design of the mission solution which includes designing mission trajectories, building models to help craft mission solutions, and developing simulations to solve key mission needs. You will carefully listen to stakeholder needs and then design rigorous math and physics analyses leading to clear and compelling value propositions. You will work closely with related teams, including Systems Engineering, GNC, Software, Mission Operations, Hardware Engineering and others. You will lead physics-level modeling, mission design, constellation design, simulation and analysis for a wide variety of defense missions.

This role is directly tied to ongoing, funded programs within Anduril’s Discovery 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.

WHAT YOU’LL DO

• Develop model-driven analysis (and often the models themselves)
• Develop a deep understanding of transformational value of Anduril platform, autonomy, simulation, and perception products
• Use our advanced internal M&S capabilities to give our analyses an asymmetric advantage over competitors
• Convey the value through life of AI-powered distributed systems over traditional industrial offerings
• Provide rigorous analytical products which will be used to guide hardware engineering and convince stakeholders of our value advantage

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Top Secret security clearance
• Strong domain experience in fields like missile defense, Space, radar, sensor fusion, etc. 
• Proven track record of independently owning and executing program deliverables with little to no management
• Outstanding communication skills to include visual presentation of complex data
• Proficiency with physics-math scripting (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Strong engineering background, preferably in Astrodynamics, Aerospace Engineering, Dynamics and Controls Engineering, or other related engineering field

PREFERRED QUALIFICATIONS

• 10+ years in a relevant Science/Engineering field
• Space Mission MS&A experience - for example, working knowledge of constellation design, space trajectory design, and physics-level modeling across a wide variety of space missions
• Spacecraft & Payload MS&A experience— ability to perform physics-based trade-space analyses for spacecraft propulsion, power, thermal management, and payloads such as RADAR, SATCOM, and/or EOIR
• Rendezvous Proximity Operations (RPO) Trajectory Design & Space Payloads experience
• Strong background in orbital mechanics and space environment
• Exceptional proficiency with physics-math scripting of your choice (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Proficiency with STK and Astrogator
• Proficiency with AFSIM
• Experience with genetic algorithms, machine learning, AI, and reinforcement learning algorithms

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

As a Sr. GNC (Guidance, Navigation & Control) Engineer for our Space team, you own the understanding and design of all satellite GNC subsystems to include but not limited to hardware sensors and actuators, orbit mechanics, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. The GNC engineering team will work closely with related teams, including Systems, Flight Software, Mission Operations, and Ground Software. The Sr. GNC Engineer will lead algorithm design, truth and physics modeling, 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 Sr. GNC Engineer will help lead successful implementation, validation and GNC operations of Anduril’s fleet of spacecraft.

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.

WHAT YOU’LL DO

• Lead spacecraft GNC software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with bus providers 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 GNC 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.
• Directly interact with customers to ensure mission success.
• Design of flight software, algorithms, and simulation products.
• Development of spacecraft 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

• Strong engineering background from industry or school, ideally in areas/fields such as Astrodynamics, Aerospace Engineering, Dynamics and Controls Engineering, Computer Science, or other engineering degree.
• Experience with MATLAB, Simulink, Python, C++, Go, and/or Linux Systems. 
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime.
• Ability to quickly understand and navigate complex systems and detailed requirements.
• Experience with orbital mechanics and resident space object tracking capabilities.
• Experience developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation.
• Familiarity with rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, spacecraft attitude determination and controls.
• Strong knowledge of spacecraft dynamics, orbital mechanics, and control theory.
• Eligible to obtain and maintain an active U.S. Top Secret security clearance.

PREFERRED QUALIFICATIONS

• A desire to work on critical software and hardware designs in the space domain.
• Experience testing propulsion subsystems in laboratory environments that mimic the space environmental constraints.
• 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.
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits.

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

As a GNC (Guidance, Navigation & Control) Engineer for our Space team, you will work on and understand the design of all satellite GNC subsystems to include but not limited to hardware sensors and actuators, orbit mechanics, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. The GNC engineering team will work closely with related teams, including Systems, Flight Software, Mission Operations, and Ground Software. The GNC Engineer will work algorithm design, truth and physics modeling, 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 Sr. GNC Engineer will help lead successful implementation, validation and GNC operations of Anduril’s fleet of spacecraft.

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.

WHAT YOU’LL DO

• Work spacecraft GNC software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with bus providers 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 GNC 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, algorithms, and simulation products.
• Development of spacecraft 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

• Strong engineering background from industry or school, ideally in areas/fields such as Aerospace Engineering, Dynamics and Controls Engineering, Computer Science, or other engineering degree. 
• Experience with MATLAB, Simulink, Python, C++, Go, and/or Linux Systems. 
• Ability to quickly understand and navigate complex systems and detailed requirements.
• Experience with orbital mechanics and resident space object tracking capabilities
• Familiarity with rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, and/or spacecraft attitude determination and controls
• Strong knowledge of spacecraft dynamics, orbital mechanics, and control theory.
• Clear communication and organizational skills including documentation and training material.
• Must be eligible to obtain and 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.
• Experience testing propulsion subsystems in laboratory environments that mimic the space environmental constraints.
• 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.

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

As a GNC (Guidance, Navigation & Control) Engineer for our Space team, you will work on and understand the design of all satellite GNC subsystems to include but not limited to hardware sensors and actuators, orbit mechanics, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. The GNC engineering team will work closely with related teams, including Systems, Flight Software, Mission Operations, and Ground Software. The GNC Engineer will work algorithm design, truth and physics modeling, 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 Sr. GNC Engineer will help lead successful implementation, validation and GNC operations of Anduril’s fleet of spacecraft.

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.

WHAT YOU’LL DO

• Work spacecraft GNC software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with bus providers 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 GNC 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, algorithms, and simulation products.
• Development of spacecraft 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

• Strong engineering background from industry or school, ideally in areas/fields such as Aerospace Engineering, Dynamics and Controls Engineering, Computer Science, or other engineering degree. 
• Experience with MATLAB, Simulink, Python, C++, Go, and/or Linux Systems. 
• Ability to quickly understand and navigate complex systems and detailed requirements.
• Experience with orbital mechanics and resident space object tracking capabilities
• Familiarity with rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, and/or spacecraft attitude determination and controls
• Strong knowledge of spacecraft dynamics, orbital mechanics, and control theory.
• Clear communication and organizational skills including documentation and training material.
• Must be eligible to obtain and 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.
• Experience testing propulsion subsystems in laboratory environments that mimic the space environmental constraints.
• 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.

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

As a Sr. GNC (Guidance, Navigation & Control) Engineer for our Space team, you own the understanding and design of all satellite GNC subsystems to include but not limited to hardware sensors and actuators, orbit mechanics, navigation algorithms, flight software implementation, subsystem integration & test (I&T), and vehicle I&T. The GNC engineering team will work closely with related teams, including Systems, Flight Software, Mission Operations, and Ground Software. The Sr. GNC Engineer will lead algorithm design, truth and physics modeling, 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 Sr. GNC Engineer will help lead successful implementation, validation and GNC operations of Anduril’s fleet of spacecraft.

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.

WHAT YOU’LL DO

• Lead spacecraft GNC software and hardware subsystems for various spacecraft efforts in all orbital regimes and work closely with bus providers 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 GNC 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.
• Directly interact with customers to ensure mission success.
• Design of flight software, algorithms, and simulation products.
• Development of spacecraft 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

• Strong engineering background from industry or school, ideally in areas/fields such as Astrodynamics, Aerospace Engineering, Dynamics and Controls Engineering, Computer Science, or other engineering degree.
• Experience with MATLAB, Simulink, Python, C++, Go, and/or Linux Systems. 
• Experience conducting spacecraft operations and satellite command and control with an emphasis on system reliability and uptime.
• Ability to quickly understand and navigate complex systems and detailed requirements.
• Experience with orbital mechanics and resident space object tracking capabilities.
• Experience developing 3-DOF simplified and 6-DOF high-fidelity dynamics simulation models used for GNC systems analysis and validation.
• Familiarity with rendezvous proximity operations and docking, orbital mechanics with propulsive spacecraft, spacecraft attitude determination and controls.
• Strong knowledge of spacecraft dynamics, orbital mechanics, and control theory.
• Eligible to obtain and maintain an active U.S. Top Secret security clearance.

PREFERRED QUALIFICATIONS

• A desire to work on critical software and hardware designs in the space domain.
• Experience testing propulsion subsystems in laboratory environments that mimic the space environmental constraints.
• 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.
• Exposure to US satellite operations policy and constraints for relevant mission threads in all orbits.

The Team:

Celonis Services is a strategic services organization that focuses on the technical aspects of our customers' journeys, which includes Consulting Services, Academy and Customer Support. We are thought leaders with deep product, technical and domain expertise and focus on delivering Celonis implementations and driving product adoption for our customers. We achieve this by bringing together our best practices, delivery experience, award-winning enablement, and support expertise.

The Role:

As a Senior Consultant, you lead our agile project teams to accelerate our customers’ digital transformation and drive Celonis’ international expansion. You identify our customers’ strategic priorities and lead your project team towards developing data-driven process insights using SQL and creating complex data models to ensure that customers receive maximum value. You will become an expert in all kinds of company processes such as Finance, Order Management, Procurement, Warehouse Management, Customer Service, Production, e-Commerce, Opportunity Management, Supply Chain Management. You always leverage the newest features and functionalities of the Celonis software, such as Process Analytics, Process Automation, Task Mining and Machine Learning. 

The work you’ll do:

• Lead and drive the implementation process while delivering exceptionally high levels of service to ensure the optimal solution for our customers with our Celonis technology 
• Transform the customer’s data using SQL to create the data model for your process analysis
• Design and implement innovative analyses and execution apps and enrich them with Machine Learning algorithms or Task Mining to make the customer’s processes transparent and automated 
• Analyze the data to identify process inefficiencies and understand the root causes to jointly suggest approaches to overcome them
• Quantify the business and financial potential and present the most relevant KPIs to the management 
• Translate business requirements into technical specifications
• Conduct value creation workshops and align measures to improve process inefficiencies 
• Set the foundation of the path to value to make the long-term customer success journey happen

The qualifications you need:

• Preferred location is Washington, DC
• 5+ years working experience in IT-Consulting, Management Consulting, Process Improvement or a similar area 
• Must have relevant experience in Public Sector vertical
• Requires Active Security Clearance (that will remain active for at least 18+ months upon hire)
• Proficiency with SQL or other programming languages (Python, R, Matlab...) and a strong interest in Big Data, Data Mining, and Process Mining
• Strong communication skills in English and enjoy interacting with various customers to understand and interpret business processes
• You are very dedicated and visionary and want to actively drive the Celonis Process Mining technology forward 
• Excellent analytical skills, well organized and known for being a quick learner
• Successfully completed your studies in Business Informatics, Computer Science, Information-oriented Business Administration/ Economics, Mathematics or a comparable degree program

Visa sponsorship is not offered for this role.

ABOUT THE TEAM

We are working on cutting-edge autonomous airpower systems that need to operate in the most demanding environments. To support our development and deployment tasks, we are building a Model-Based Systems Engineering team to guide Digital Engineering strategy and complement our Modeling and Simulation, Product Engineering, and Business Development teams. This team will provide Model Based Systems Engineering artifacts which will be used in support of product development, delivery, and sustainment of open architectures and their associated enterprise products. 

WHAT YOU’LL DO

• You will be a systems engineer who interfaces with stakeholders including internal programs and external customers
• You will develop artifacts based on stakeholder needs and work closely with functional areas to ensure artifacts are complete and accurate. Model Artifacts will often be contractual deliverables and require demonstration at stakeholder meetings and events
• This role will be critical proving that Anduril offers real Systems Engineering and Mission Systems Integration capabilities
• Participate in the development of our Digital and Systems Engineering Strategy and Implementation
• Develop a deep understanding of transformational value of Anduril platforms, autonomy, simulation, and perception products through the creation and maintenance of systems engineering artifacts

REQUIRED QUALIFICATIONS

• B.S. in aerospace, mechanical, computer science or similar engineering or technical field
• 2+ years Systems Engineering Experience across the life cycle. The more, the better
• Basic understanding of modular open systems approaches (MOSA) in defense systems
• Knowledge of software architectures and their application in complex systems
• Experience with requirements analysis and system design in a government context
• Understanding of interoperability and integration challenges in defense systems
• Experience with Systems Engineering, Requirements Elicitation and Management, Integration, and Test Activities on complex systems - DoD Weapon Systems, Space Systems, etc...
• Experience with SysML, DoDAF, UAFP, or similar
• Experience developing various model based system engineering artifacts - Operational Viewpoints, System Viewpoints, activity diagrams, use case diagrams, BDDs, IBDs, parametric diagrams, etc...
• Experience with Cameo MagicDraw or similar systems engineering software (Rhapsody, SparxEA, etc...)
• Experience with Digital Engineering workflows and Integrated Modeling Environments (i.e. Teamwork Cloud)
• Outstanding communication skills to include presentation of developed artifacts
• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Eligible to obtain and maintain an active U.S. Top Secret security clearance

PREFERRED QUALIFICATIONS

• Familiarity with one or more Government Reference Architectures (GRAs) such as AMS GRA, A-GRA, or OMS/UCI
• Understanding of cybersecurity principles and their application in GRAs
• Experience working with UAI (Universal Armament Interface) or similar standardized interfaces
• Knowledge of FACE (Future Airborne Capability Environment) Technical Standard
• Understanding of SOSA (Sensor Open Systems Architecture) aligned systems
• Mission Modeling experience. For example, working knowledge of OCA/DCA, ISR, SEAD/DEAD, Electronic Attack, or Integrated Fire Control missions
• Experience Cameo Simulation Toolkit plugin for Cameo MagicDraw
• Proficiency with Mathworks products (MATLAB, SIMULINK etc.)
• INCOSE Systems Engineering Professional (SEP) Certification

ABOUT THE TEAM

Anduril's TRS Simulation team owns the ecosystem, frameworks, and guidance that make simulation possible, repeatable, and scalable across the Tactical Recon & Strike business line. We don't just run sims, we define what it means for a simulation to be trustworthy. Our team operates across four pillars: Sim Infrastructure, Sim Fidelity, Sim Integrations, and Training Simulations, supporting products like Altius, Ghost, Bolt, and Anvil from early development through field deployment. Every fidelity improvement, every validated model, and every simulation environment we deliver directly determines whether autonomous systems are ready to fly real missions.

Our vision is one simulation framework that serves every product and every deployment target, from a developer's laptop through CI pipelines, operator training environments, and large-scale HPC Monte Carlo campaigns. The same declarative workspace definition can be composed, extended, and deployed wherever simulation is needed, so teams spend their time on mission problems instead of reinventing infrastructure.

THE ROLE

This role is for someone who loves going deep on a problem. You'll identify where simulated components diverge from real-world behavior at the system level, work with our functional teams who own those subsystems to understand what a better model looks like, then own the integration, optimization, and validation within our simulation framework. The cycle is: analyze the gap, understand the domain, engineer the solution into the framework, and prove the fidelity improvement with data. The problems are genuinely complex, multi-physics, multi-rate, spanning both real-time and faster-than-real-time execution for large-scale Monte Carlo campaigns, and the feedback loop is measured in months, not years: your improvements are validated against real flight data and deployed to operational systems on a cadence that keeps pace with product development.

You are expected to quickly develop working knowledge of the domains you touch (sensors, comms, navigation, environment, autonomy interfaces) and become an effective partner to our teams that own those subsystems. You'll care about performance characteristics, numerical stability, integration correctness, and building the validation tooling that makes fidelity measurable and repeatable. Whether your background is in industry or academia, what matters is demonstrated depth of ownership over complex software systems and the ability to pick up new domains and deliver reliable, performant software within them. You will own your solutions from design through delivery and long-term maintenance, with the support and collaboration of our team behind you. At the senior level, we expect you to operate across the full breadth of the simulation stack and help shape our team's technical direction.

WHAT YOU'LL DO

• Analyze simulated subsystems within the framework to identify where system-level behavior diverges from real-world data, quantifying gaps and their downstream impact on simulation trustworthiness.
• Partner with functional engineering teams (flight dynamics, perception, guidance, comms) who own subsystem models to understand requirements, integrate their higher-fidelity models into the simulation framework, and validate the integration through statistical analysis.
• Engineer framework-level solutions that enable higher-fidelity models to run efficiently, addressing performance constraints, timing coordination, and numerical integration concerns.
• Build and maintain validation tooling and benchmarks that make fidelity measurable: automated comparison against real-world data, regression detection, and acceptance threshold enforcement.
• Design and run Monte Carlo validation campaigns to verify that fidelity improvements hold across parameter sweeps and edge cases, not just nominal conditions.
• Work across faster-than-real-time simulation and software-in-the-loop (SITL) environments, understanding the performance and fidelity trade-offs at each tier.
• Identify opportunities where industry-standard or academic approaches could improve our simulation strategy, and coordinate with the appropriate domain teams to evaluate and adopt them.
• At the senior level: drive cross-cutting fidelity strategy across the simulation stack, mentor other engineers, and represent the fidelity team's technical perspective in cross-functional design reviews.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, or a related field.
• At least 3+ years of professional software engineering experience with a systems language (C++, Rust) and an analysis/scripting language (Python, MATLAB).
• Experience with performance analysis and optimization of complex software systems (profiling, bottleneck identification, latency reduction, computational efficiency).
• Comfort with numerical and scientific computing concepts (integration methods, statistical analysis).
• Demonstrated ability to take deep ownership of a system end-to-end: understand it, identify problems, design solutions, implement them, and validate the results with data.
• Experience building or maintaining automated test/validation infrastructure that enforces correctness over time.
• Track record of working effectively across team boundaries, particularly with domain experts whose systems you need to understand and integrate with.
• Ability to quickly understand and navigate complex systems and established code bases.
• A desire to work on critical software that has a real-world impact.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

Additional for Senior candidates:

• 5+ years of professional software engineering experience.
• Experience driving technical strategy and making architectural decisions that affect multiple teams or systems.
• Track record of mentoring engineers and raising the bar for engineering practices within a team.

PREFERRED QUALIFICATIONS

• Master's degree or PhD in a relevant field.
• Experience working with simulation frameworks, game engines, physics engines, or real-time systems.
• Experience with Monte Carlo methods, parameter sweeps, or statistical validation campaigns.
• Familiarity with flight dynamics, control systems, sensor modeling, or other aerospace-adjacent domains (even at a high level).
• Experience with modern build and deployment tooling (Nix, Docker, CI/CD systems).
• Background in academic research or computational science with a transition (or desire to transition) into applied software engineering.
• Experience with data pipelines for comparing simulation output against real-world reference data.
• Familiarity with HPC environments (SLURM, containerized workloads, cluster computing).
• A bias toward rapid delivery and iteration.

ABOUT THE JOB

At Anduril we are developing unmanned aerial systems capable of terminal guidance, long range intelligence collection, precision navigation, and unsupervised autonomy. Anvil, Altius, Ghost, and other developmental UAS platforms are built to operate in remote environments with limited user input, driving requirements for reliability and autonomy. We have developed an autonomy stack that receives user intent, responds to detections processed at the edge, and coordinates flight patterns for groups of assets. We are looking for systems engineers with experience in this field to help design and manage the next generation of Anduril’s flight vehicles. In order to be successful at Anduril, a systems engineer needs to be familiar with simulation and rapid prototyping development to drive complex electro-mechanical and aero-performance design trades, in addition to supporting the engineering product development, production, and sustainment through the entire product lifecycle.

WHAT YOU'LL DO

• Lead development for an end to end solution by collaborating with cross-functional teams to define requirements and system architecture.
• Design, develop, and maintain system components that meet functional and performance requirements in complex system environments
• Conduct thorough testing and debugging to ensure the reliability, scalability, and resilience of software applications, especially within a distributed systems context
• Work closely with hardware engineers and product managers to ensure seamless integration of software and hardware components
• Collaborate with the team to define and document software engineering processes and practices, ensuring adherence to quality standards and regulatory requirements

REQUIRED QUALIFICATIONS

• 6+ years of post-grad industry experience, including but not limited to electrical engineering, aerospace engineering, or systems engineering
• A passion for systems design development, integration, and test
• Hands-on prototyping, troubleshooting, and build experience
• Experience developing automated test scrips and frameworks using a common language (eg. Python, MATLAB, etc)
• Extremely organized and detail-oriented
• Excellent verbal & written communication skills
• A sincere commitment to a positive, inclusive, and collaborative culture
• Must hold a U.S. Secret security clearance, or higher
• Ability to travel up to 25% as needed for test planning and execution

PREFERRED QUALIFICATIONS

• Hands on experience with complex robotic systems
• Familiarity with IP-Based networks
• Experience with mission systems, including communications systems and components
• Familiarity with aviation airworthiness considerations

ABOUT THE JOB

At Anduril we are developing unmanned aerial systems capable of terminal guidance, long range intelligence collection, precision navigation, and unsupervised autonomy. Anvil, Altius, Ghost, and other developmental UAS platforms are built to operate in remote environments with limited user input, driving requirements for reliability and autonomy. We have developed an autonomy stack that receives user intent, responds to detections processed at the edge, and coordinates flight patterns for groups of assets. We are looking for systems engineers with experience in this field to help design and manage the next generation of Anduril’s flight vehicles. In order to be successful at Anduril, a systems engineer needs to be familiar with simulation and rapid prototyping development to drive complex electro-mechanical and aero-performance design trades, in addition to supporting the engineering product development, production, and sustainment through the entire product lifecycle.

WHAT YOU'LL DO

• Lead development for an end to end solution by collaborating with cross-functional teams to define requirements and system architecture.
• Design, develop, and maintain system components that meet functional and performance requirements in complex system environments
• Conduct thorough testing and debugging to ensure the reliability, scalability, and resilience of software applications, especially within a distributed systems context
• Work closely with hardware engineers and product managers to ensure seamless integration of software and hardware components
• Collaborate with the team to define and document software engineering processes and practices, ensuring adherence to quality standards and regulatory requirements

REQUIRED QUALIFICATIONS

• 6+ years of post-grad industry experience, including but not limited to electrical engineering, aerospace engineering, or systems engineering
• A passion for systems design development, integration, and test
• Hands-on prototyping, troubleshooting, and build experience
• Experience developing automated test scrips and frameworks using a common language (eg. Python, MATLAB, etc)
• Extremely organized and detail-oriented
• Excellent verbal & written communication skills
• A sincere commitment to a positive, inclusive, and collaborative culture
• Must hold a U.S. Secret security clearance, or higher
• Ability to travel up to 25% as needed for test planning and execution

PREFERRED QUALIFICATIONS

• Hands on experience with complex robotic systems
• Familiarity with IP-Based networks
• Experience with mission systems, including communications systems and components
• Familiarity with aviation airworthiness considerations

Anduril’s Tactical Reconnaissance and Strike Division (TRS) is responsible for design and development of Anduril’s fleet of small warfighting and surveillance drones deployed around the world, including Ghost, Anvil, Altius, and Bolt. The guidance, navigation, and control (GNC) team within TRS performs implementation, analysis, test, and validation, modeling & simulation, for GNC software solutions supporting our autonomous drone fleet. Applications include attitude and position control, waypoint and terminal guidance engagements, and navigating contested environments including communication and GPS denied environments. This role will be responsible for building and maintaining the high fidelity 6 Degree of Freedom simulation software utilized with TRS GNC for GNC algorithm development, test, and validation.

ABOUT THE JOB

We are looking for a Modeling & Simulation engineer to join our team. As part of the team, you will have the opportunity to develop, implement and maintain a sufficient fidelity simulations and digital twins of the myriad of different vehicles that Anduril works on. The ideal candidate has experience working on aerospace systems and understands the right fidelity of sub-system and system level modeling required to integrate with the broader flight control and mission autonomy software. The role requires the individual to be proficient in vehicle/sub-system modeling and well-versed in coding practices and software integration practices. If you have a passion for flight and like the idea of building a physics based digital representation of a flying vehicle this is the role for you!

• What You’ll Do

• Develop simulation solutions for 6DOF and Guidance, Navigation and Control algorithm development
• Develop and maintain Software-In-The-Loop (SITL) and Hardware-In-The-Loop (HITL) tests.
• Work closely with the flight software team to define requirements and integrate GNC software
• Characterization work (aero, optics, actuators, IMUs, etc) for both fixed wing and rotorcraft
• Review test data captured from the flight control system, subsystems, and other test instrumentation to verify vehicle performance, evaluate GNC algorithm/controller behavior, or debug incident.
• Develop models required to support functional evaluation of GNC software
• Required Qualifications

• Bachelor’s degree in Robotics, Computer Science, Mechanical/Aerospace Engineering or a related field with exceptional skills in the field of dynamic systems and control
• 8 years professional experience in a Modeling & Simulation for supporting airborne platforms
• Demonstrated proficiency in C++, Matlab, Simulink, Simulink Embedded Coder, and Python
• Extensive experience in modeling and simulation of linear/nonlinear dynamic systems
• Experience in Monte-Carlo simulations and flight test data analysis tools and processes
• Extensive experience in the mathematical modeling and simulation of aerodynamics, rotorcraft dynamics, sensors and actuators.
• Work with multi-disciplinary subject matter experts to understand and adequately model pertinent sub-system, system and system of system dynamics
• A passion for defending the Unites States of America and its allies
• Eligible to obtain and maintain an active U.S. Secret security clearance

• Preferred Qualifications

• Master’s Degree or PhD in Robotics, Computer Science, Mechanical/Aerospace Engineering, or a related field with a focus on dynamic systems and control
• Experience with Flight test data processing/sim correlation experience
• Experience with integrating and debugging navigation systems for aerial platforms
• Experience with guidance algorithm development

Description

Reusable systems are the key to seamlessly connecting Earth and space. Structural analysis is at the heart of making parts, assemblies, and systems last for thousands of uses. As a Structural Analyst at Stoke, you will be responsible for performing comprehensive strength, stability, and lifting analysis of various launch vehicle and engine components. You will work closely with Responsible Engineers (REs) in a truly hardware rich environment to improve the structural integrity of their parts and develop qualification rationale and test plans.

This role presents a unique opportunity to work on aerospace structures across different systems. This role is applicable to analysts who specialize in either launch vehicles or propulsion systems or analysts with (or desiring) broad experience across both. As part of a small, well-supported team, you will have access to the resources you need to get the job done right while simultaneously boosting your skills at a pace that can't be matched in most other roles.

Responsibilities

• Build analytical models to assess various failure modes on launch vehicle and/or rocket engine hardware
• Document analysis results and structural rationale for components and systems
• Review the stress work of others
• Develop loads and load cases, communicate them to stakeholders, and implement them in analysis as needed
• Identify required structural testing, develop test plans, and participate in validation testing
• Identify shortfalls in material databases and develop test plans to gather required data
• Develop tools and methods to improve speed and consistency of analysis
• Mentor and train other engineers in stress analysis techniques
• Plan testing and collect data to validate loads and material allowable assumptions, and use test results to improve analysis models
• Other responsibilities as required

Qualifications

• Bachelor's degree in Aerospace Engineering, Mechanical Engineering, or related technical field or equivalent experience
• 3-5 years of experience analyzing launch vehicles, rocket engines, or other transferrable experience
• Solid structural mechanics fundamentals including static, fatigue, and fracture
• Experience with common commercial FEA solvers such as ANSYS or NASTRAN
• Experience with basic scripting or automation tools (Python or MATLAB preferred) for analysis workflow improvement
• Excellent written and verbal communication skills
• Collaborative mindset with ability to both contribute ideas and implement team decisions

Preferred Qualifications

• Master's degree in related technical field
• Experience with developing structural test plans and material characterization testing
• Experience with both vehicle primary structure and engine components
• Demonstrated ability to mentor junior engineers

Benefits

• Equity – We know that our employees are the reason we succeed. To give everyone a stake in our future, we are pleased to offer equity in the form of stock options to all regular, full-time employees. 
• Comprehensive benefits program including subsidized medical, dental, and vision insurance 
• Company-paid life and disability insurance 
• 401(k) plan with employer match 
• 4 weeks’ Paid Time Off  
• Holidays – 10 days (including an end-of-year closure) 
• Paid Family/Parental Leave  
• On-site gym or monthly wellness stipend (depending on location) 
• Dog friendly offices! 

Compensation

Target Levels:

• Level 2 Range: $109,725 - $148,470
• Level 3 Range: $129,150 - $193,620

Our job posts are intentionally written to attract a wide variety of experience levels, and we make decisions about the right fit on a per-candidate basis. 

Your actual level and base salary will be decided based on your specific experience and skill level.

#LI-TS1

We are seeking a Fluids Engineering Manager to lead the design, development, and operations of fluids systems for Nova’s first and second stages. This is a highly impactful role where you will guide a team of engineers through complex technical challenges, from early conceptual design, through manufacturing, integration, testing, and ultimately through flight operations. The qualified candidate thrives in a fast-paced environment, enjoys working hands-on, and consistently applies first-principles and system-level thinking to solve complex challenges.

Responsibilities

• Own the technical roadmap for stage fluids design on current and future vehicles
• Lead the execution of fluids designs from concept through release, build, testing, and vehicle-level operations
• Hire, grow, and mentor a team of fluids engineers
• Provide technical coaching in areas such as structures, fluids, thermodynamics, and rocket operations
• Maintain a culture of integrity, reliability, and fast iteration

Qualifications

• 5+ years of experience in design, build, and/or testing of rocket fluids systems, rocket engines, and valves
• 1+ years of experience leading a team of engineers
• Project management experience including developing budgets and schedules, and managing resources
• Excellent written and verbal communication
• A proven ability to mentor and coach
• Mastery of fundamentals, including compressible flow, thermodynamics, structures, control systems, cryogenics, and instrumentation
• Proficiency with understanding and maintaining revision-controlled P&ID’s
• Proficiency with relevant analysis tools (ANSYS, Python, REFPROP, Excel, Matlab, or equivalent)
• Hands on experience performing fabrication and assembly of components
• Bachelor’s degree in mechanical or aerospace engineering, or similar
• Willing to relocate to Seattle, WA

Benefits

• Equity – We know that our employees are the reason we succeed. To give everyone a stake in our future, we are pleased to offer equity in the form of stock options to all regular, full-time employees. 
• Comprehensive benefits program including subsidized medical, dental, and vision insurance 
• Company-paid life and disability insurance 
• 401(k) plan with employer match 
• 4 weeks’ Paid Time Off  
• Holidays – 10 days (including an end-of-year closure) 
• Paid Family/Parental Leave  
• On-site gym or monthly wellness stipend (depending on location) 
• Dog friendly offices! 

Compensation

Target Levels:

• Level 3 Range: $129,150 - $193,620
• Level 4 Range: $151,305 - $252,105

Our job posts are intentionally written to attract a wide variety of experience levels, and we make decisions about the right fit on a per-candidate basis. 

Your actual level and base salary will be decided based on your specific experience and skill level.

#LI-TS1

Description

Reusable launch systems are the key to seamlessly connecting Earth and space. The Avionics system is the backbone of highly reusable, operable, and reliable space systems. We are seeking an Avionics Mechanical Manager to lead the design and development of mechanical solutions for component packaging and launch vehicle integration of flight avionics hardware for Nova’s first and second stages. This is a highly impactful role where you will guide a team of engineers through complex technical challenges, from early conceptual design, through manufacturing, integration, testing, and ultimately through flight operations.  You will seek out state-of-the-art solutions to difficult problems and you will assist in the definition of company standards for avionics development. The qualified candidate thrives in a fast-paced environment, enjoys working hands-on, and consistently applies first-principles and system-level thinking to solve complex challenges.

Responsibilities

• Own the technical roadmap for stage avionics mechanical design on current and future vehicles
• Lead the execution of avionics mechanical designs from concept through release, build, testing, and vehicle-level operations
• Hire, grow, and mentor a team of avionics mechanical engineers
• Provide technical coaching in areas such as structures, avionics, thermodynamics, and rocket operations
• Maintain a culture of integrity, reliability, and fast iteration
• Design, analyze, manufacture, and test flight avionics including enclosures and secondary structure
• Lead design reviews both internally and externally
• Drive continuous improvement efforts to increase throughput and reduce cost to meet the launch target

Qualifications

• 5+ years of experience in design, build, analysis and/or testing of avionics mechanical systems or similar
• 1+ years of experience leading a team of engineers
• Project management experience including developing budgets and schedules, and managing resources
• Proficiency with relevant CAD and analysis tools (NX, ANSYS, Excel, Matlab, or equivalent)
• Experience working with PCB designers and exposure to PCB layout
• Hands on experience performing fabrication and assembly of components
• Excellent written and verbal communication skills
• A proven ability to mentor and coach
• Mastery of fundamentals
• Bachelor’s degree in mechanical or aerospace engineering, or similar

Preferred Qualifications

• Self-motivated with strong organizational, written, and oral communication skills
• Experience designing electronics component packaging and secondary structure for extreme environments
• Strong understanding of manufacturing processes including machining, 3D printing, and sheet metal fabrication
• Exposure to high volume production designs with a focus on design for manufacturability
• Exposure to designing for high vibration environments
• Ability to perform thermal analysis for avionics components
• Experience with fatigue and thermal testing of electro-mechanical assemblies
• Ability to perform structures hand calculations
• Solid understanding and application of GD&T
• Experience with harness routing
• Rigorous attention to detail

Benefits

• Equity – We know that our employees are the reason we succeed. To give everyone a stake in our future, we are pleased to offer equity in the form of stock options to all regular, full-time employees. 
• Comprehensive benefits program including subsidized medical, dental, and vision insurance 
• Company-paid life and disability insurance 
• 401(k) plan with employer match 
• 4 weeks’ Paid Time Off  
• Holidays – 10 days (including an end-of-year closure) 
• Paid Family/Parental Leave  
• On-site gym or monthly wellness stipend (depending on location) 
• Dog friendly offices! 

Compensation

Target Levels:

• Level 3 Range: $129,150 - $193,620
• Level 4 Range: $151,305 - $252,105

Our job posts are intentionally written to attract a wide variety of experience levels, and we make decisions about the right fit on a per-candidate basis. 

Your actual level and base salary will be decided based on your specific experience and skill level.

#LI-TS1

The Team:

Celonis Services is a strategic services organization that focuses on the technical aspects of our customers' journeys, which includes Consulting Services, Academy and Customer Support. We are thought leaders with deep product, technical and domain expertise and focus on delivering Celonis implementations and driving product adoption for our customers. We achieve this by bringing together our best practices, delivery experience, award-winning enablement, and support expertise.

The Role:

As a Lead Consultant, you lead our agile project teams to accelerate our customers’ digital transformation and drive Celonis’ international expansion. You identify our customers’ strategic priorities and lead your project team towards developing data-driven process insights using SQL and creating complex data models to ensure that customers receive maximum value. You will become an expert in all kinds of company processes such as Finance, Order Management, Procurement, Warehouse Management, Customer Service, Production, e-Commerce, Opportunity Management, Supply Chain Management. You always leverage the newest features and functionalities of the Celonis software, such as Process Analytics, Process Automation, Task Mining and Machine Learning. 

The work you’ll do:

• Lead and drive the implementation process while delivering exceptionally high levels of service to ensure the optimal solution for our customers with our Celonis technology 
• Transform the customer’s data using SQL to create the data model for your process analysis
• Design and implement innovative analyses and execution apps and enrich them with Machine Learning algorithms or Task Mining to make the customer’s processes transparent and automated 
• Analyze the data to identify process inefficiencies and understand the root causes to jointly suggest approaches to overcome them
• Quantify the business and financial potential and present the most relevant KPIs to the management 
• Translate business requirements into technical specifications
• Conduct value creation workshops and align measures to improve process inefficiencies 
• Set the foundation of the path to value to make the long-term customer success journey happen

The qualifications you need:

• Must be located in Washington DC, New York City or Raleigh.
• 7+ years working experience in IT-Consulting, Management Consulting, Process Improvement or a similar area 
• Must have relevant experience in Public Sector vertical
• Requires Active Security Clearance (that will remain active for at least 18+ months upon hire)
• Proficiency with SQL or other programming languages (Python, R, Matlab...) and a strong interest in Big Data, Data Mining, and Process Mining
• Strong communication skills in English and enjoy interacting with various customers to understand and interpret business processes
• You are very dedicated and visionary and want to actively drive the Celonis Process Mining technology forward 
• Excellent analytical skills, well organized and known for being a quick learner
• Successfully completed your studies in Business Informatics, Computer Science, Information-oriented Business Administration/ Economics, Mathematics or a comparable degree program

Visa sponsorship is not offered for this role

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. 

CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.

Role Overview:

We are seeking a proactive and detail-oriented Senior RF Geolocation Engineer to lead the development of advanced passive RF geolocation capabilities for our electromagnetic warfare product line. This role is focused on deriving, implementing, and validating high-performance localization solutions that enable CHAOS’s distributed systems to detect, characterize, and geolocate non-cooperative RF emitters in complex environments. The engineer will contribute across the full algorithm lifecycle, from first-principles formulation and high-fidelity modeling through software integration, calibration, field demonstration, and validation, and will collaborate closely with Business Development, Production, and cross-functional Engineering teams.

Responsibilities: 

As a key contributor to the Spectrum Sensing Team, the Senior RF Geolocation Engineer will help redefine our spectrum sensing capabilities around high-confidence passive geolocation. The day-to-day will be diverse, hands-on, and highly technical, with direct impact on next-generation distributed sensing products. The engineer will:

• Design and derive advanced passive RF geolocation algorithms from first principles, with emphasis on TDOA, FDOA, and hybrid geolocation architectures across distributed sensor networks
• Develop coherent and non-coherent passive geolocation and imaging approaches, including phase-aligned multi-node processing for interferometric performance and robust envelope-based localization methods
• Apply statistical signal detection frameworks, including Neyman-Pearson, Bayesian, and CFAR methodologies, to maximize probability of detection across varying noise, interference, and target conditions
• Apply estimation and detection theory, including maximum likelihood estimation, error bound analysis, and linear algebraic methods, to formulate robust and analytically defensible localization solutions
• Model, simulate, and mitigate real-world nonidealities such as oscillator phase noise, timing jitter, calibration error, uncertain sensor geometry, and low-SNR operating conditions
• Develop, implement, and refine software for passive geolocation, emitter localization, and RF scene analysis using Python, MATLAB, C++, or related languages
• Translate mathematically intensive algorithms into efficient real-time implementations on DSP, GPU, or other accelerated compute architectures as system needs require
• Build high-fidelity simulation environments to evaluate geolocation accuracy, sensitivity, error budgets, and system tradeoffs before deployment
• Partner with hardware and systems engineers to define RF front-end and timing requirements by quantifying their effect on end-to-end geolocation performance
• Support algorithm integration, system calibration, test planning, and field validation in representative operational environments
• Clearly document algorithm assumptions, derivations, performance limits, and test results for internal stakeholders and external customers
• This role will require periodic travel, up to 30%.

Minimum Requirements:

• B.S. degree in Electrical Engineering, Applied Mathematics, Physics, or a related technical field
• 5+ years of relevant experience developing RF signal processing, estimation, or geolocation algorithms
• Strong foundation in statistical and time-domain signal processing, detection and estimation theory, backpropagation, and applied linear algebra
• Demonstrated experience developing passive RF geolocation algorithms, such as TDOA, FDOA, multilateration, direction finding, interferometry, or hybrid localization methods
• Experience applying rigorous detection frameworks such as Neyman-Pearson, Bayesian inference, CFAR, or related methods to noisy and contested RF environments
• Proficiency in Python, MATLAB, C++, or similar languages for modeling, simulation, and implementation of signal processing algorithms
• Experience evaluating algorithm performance under real-world impairments, including low SNR, synchronization error, sensor geometry uncertainty, or interference
• Ability to translate theoretical models into practical software suitable for integration with RF/SDR hardware and production code bases
• Strong verbal and written communication skills, with the ability to clearly document technical approaches, assumptions, and performance results
• Must be able to work on-site 3-5 days per week in Hawthorne, CA or Washington, D.C.
• U.S. citizen
• Ability to obtain and maintain a U.S. security clearance

Preferred Requirements:  

• M.S. or Ph.D. degree in Electrical Engineering, Applied Mathematics, Physics, or a related technical field
• Current U.S. security clearance
• Deep expertise in passive RF geolocation, interferometric processing, distributed coherent sensing, or passive imaging architectures
• Demonstrated community-accepted (peer-reviewed) contributions to geolocation techniques
• Experience deriving estimators and analytical bounds such as maximum likelihood estimators, Cramer-Rao lower bounds, and geolocation error budgets
• Experience optimizing signal processing algorithms for real-time execution on GPU, FPGA, DSP, or heterogeneous compute platforms
• Experience taking algorithms from concept through simulation, integration, calibration, and field-test validation
• Ability to define system-level requirements for RF front ends, clocks, synchronization, and calibration based on algorithm sensitivity and accuracy analysis
• Expertise with software defined radios and associated RF signal processing toolchains
• Experience in military or other government environments performing related technical work in a fast-paced, mission-driven setting
• Experience with agile development tools such as JIRA and Confluence

Why CHAOS?

• Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
• Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
• Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
• Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
• Team Growth: 250 employees and counting across 5 global offices

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a 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. 

Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.

#LI-onsite

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. 

CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.

Role Overview:

We are seeking a proactive and detail-oriented Staff RF Geolocation Engineer to lead the development of advanced passive RF geolocation capabilities for our electromagnetic warfare product line. This role is focused on deriving, implementing, and validating high-performance localization solutions that enable CHAOS’s distributed systems to detect, characterize, and geolocate non-cooperative RF emitters in complex environments. The engineer will contribute across the full algorithm lifecycle, from first-principles formulation and high-fidelity modeling through software integration, calibration, field demonstration, and validation, and will collaborate closely with Business Development, Production, and cross-functional Engineering teams.

Responsibilities: 

As a key contributor to the Spectrum Sensing Team, the Staff RF Geolocation Engineer will help redefine our spectrum sensing capabilities around high-confidence passive geolocation. The day-to-day will be diverse, hands-on, and highly technical, with direct impact on next-generation distributed sensing products. The engineer will:

• Design and derive advanced passive RF geolocation algorithms from first principles, with emphasis on TDOA, FDOA, and hybrid geolocation architectures across distributed sensor networks
• Develop coherent and non-coherent passive geolocation and imaging approaches, including phase-aligned multi-node processing for interferometric performance and robust envelope-based localization methods
• Apply statistical signal detection frameworks, including Neyman-Pearson, Bayesian, and CFAR methodologies, to maximize probability of detection across varying noise, interference, and target conditions
• Apply estimation and detection theory, including maximum likelihood estimation, error bound analysis, and linear algebraic methods, to formulate robust and analytically defensible localization solutions
• Model, simulate, and mitigate real-world nonidealities such as oscillator phase noise, timing jitter, calibration error, uncertain sensor geometry, and low-SNR operating conditions
• Develop, implement, and refine software for passive geolocation, emitter localization, and RF scene analysis using Python, MATLAB, C++, or related languages
• Translate mathematically intensive algorithms into efficient real-time implementations on DSP, GPU, or other accelerated compute architectures as system needs require
• Build high-fidelity simulation environments to evaluate geolocation accuracy, sensitivity, error budgets, and system tradeoffs before deployment
• Partner with hardware and systems engineers to define RF front-end and timing requirements by quantifying their effect on end-to-end geolocation performance
• Support algorithm integration, system calibration, test planning, and field validation in representative operational environments
• Clearly document algorithm assumptions, derivations, performance limits, and test results for internal stakeholders and external customers
• This role will require periodic travel, up to 30%.

Minimum Requirements:

• B.S. degree in Electrical Engineering, Applied Mathematics, Physics, or a related technical field
• 5+ years of relevant experience developing RF signal processing, estimation, or geolocation algorithms
• Strong foundation in statistical and time-domain signal processing, detection and estimation theory, backpropagation, and applied linear algebra
• Demonstrated experience developing passive RF geolocation algorithms, such as TDOA, FDOA, multilateration, direction finding, interferometry, or hybrid localization methods
• Experience applying rigorous detection frameworks such as Neyman-Pearson, Bayesian inference, CFAR, or related methods to noisy and contested RF environments
• Proficiency in Python, MATLAB, C++, or similar languages for modeling, simulation, and implementation of signal processing algorithms
• Experience evaluating algorithm performance under real-world impairments, including low SNR, synchronization error, sensor geometry uncertainty, or interference
• Ability to translate theoretical models into practical software suitable for integration with RF/SDR hardware and production code bases
• Strong verbal and written communication skills, with the ability to clearly document technical approaches, assumptions, and performance results
• Must be able to work on-site 3-5 days per week in Hawthorne, CA or Washington, D.C.
• U.S. citizen
• Ability to obtain and maintain a U.S. security clearance

Preferred Requirements:  

• M.S. or Ph.D. degree in Electrical Engineering, Applied Mathematics, Physics, or a related technical field
• Current U.S. security clearance
• Deep expertise in passive RF geolocation, interferometric processing, distributed coherent sensing, or passive imaging architectures
• Demonstrated community-accepted (peer-reviewed) contributions to geolocation techniques
• Experience deriving estimators and analytical bounds such as maximum likelihood estimators, Cramer-Rao lower bounds, and geolocation error budgets
• Experience optimizing signal processing algorithms for real-time execution on GPU, FPGA, DSP, or heterogeneous compute platforms
• Experience taking algorithms from concept through simulation, integration, calibration, and field-test validation
• Ability to define system-level requirements for RF front ends, clocks, synchronization, and calibration based on algorithm sensitivity and accuracy analysis
• Expertise with software defined radios and associated RF signal processing toolchains
• Experience in military or other government environments performing related technical work in a fast-paced, mission-driven setting
• Experience with agile development tools such as JIRA and Confluence

Why CHAOS?

• Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
• Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
• Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
• Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
• Team Growth: 250 employees and counting across 5 global offices

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a 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. 

Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.

#LI-onsite

As a Wireless Systems Engineer, you will be part of the team developing and implementing algorithms to enable wireless connectivity between Terrestrial Bluetooth® devices and satellites. You will be involved in all aspects of the modeling, system design and implementation of wireless communication and work with cross-functional groups of hardware-software engineers. 

This is a full-time position with preference to be based in Seattle, WA (Relocation Assistance Available) but open to a remote work option (for senior/more experienced candidates).

AN IDEAL CANDIDATE HAS

• A Sense of Urgency:  Lead projects from concept to reality, rapidly and effectively
• First Principles Engineering:  Have a strong understanding of the whys behind the whats; have the ability to extrapolate from first principles to complex system design
• High Learning Agility:  Love to learn; have a grounded approach to recognizing your weaknesses and take the initiative to brush up on and sharpen your engineering foundations to better collaborate with your teammates with different backgrounds 
• System-Level Design and Analysis:  Understand the requirements flow down process and be able to quickly iterate on evolving requirements  
• Excellent Communication Skills:  Effectively convey ideas and communicate technical topics with engineering, build staff, and operations; run self-directed design reviews and participate in reviews of parallel systems
• Anticipation of Needs:   Identify problems, think creatively, and rapidly produce reliable and cost-effective solutions to meet the ever growing and changing needs of an early-stage company

BASIC QUALIFICATIONS

• 2 years of directly relevant experience
• Bachelor's Degree (Masters preferred) in Electrical Engineering, Computer Engineering, or related discipline.
• Strong understanding of communication theory & signal processing-related algorithm design (such as channel estimation, equalization, beamforming, timing recovery, coding, error correction, etc.)
• Knowledge in existing wireless communication protocols; such as 5G/LTE/WCDMA/GSM, 802.11a/b/g/n/ac/ax/be, 802.11ad/ay or Bluetooth®/Bluetooth Low Energy.
• Expertise in developing signal processing and wireless communications systems (e.g., FSK/OFDM/MIMO, etc.) and hands-on experience with lab testing and characterization.
• Experience with Matlab or Python and/or C/C++ for algorithm development, modeling, and simulation.
• Experience and knowledge on High Level Synthesis (HLS), silicon prototyping, FPGA development and emulation systems.
• Experience on bring-up of real systems in silicon/FPGA/SoC and use of lab test equipment such as oscilloscope, logic analyzer, spectrum analyzer, signal generator, etc.
• Ability to work independently
• Ability to learn new technologies, network protocols and tools rapidly.
• Strong interpersonal, verbal and written communication skills is a must
• Ability and willingness to thrive in a fast-paced, rapidly changing work environment
• Must be available to work extended hours and weekends when specific highly-critical events dictate as needed
• Passion for creating state-of-the-art software systems

STRONGLY DESIRED

• 5 - 10 years relevant experience  
• Experience with multi-radio coexistence management.
• Experience in modem architecture, microprocessor architecture, hardware and software control.
• Experience on low power algorithm design for power critical application.

COMPENSATION & BENEFITS

💰 Salary: $140K - $190K/year (commensurate with experience)
🩺 Comprehensive Benefits – Health, Dental, Vision, & HSA options
🌍 Unlimited PTO 
🚇 Commuter Benefits (if working from HQ)
🎓 Learning & Development Allowance
💪 Health & Wellness Stipend
🌎 Sabbatical Program – Recharge and explore new ideas
🛠 Cutting-Edge Space Tech – Work on state-of-the-art satellite systems

ITAR REQUIREMENTS
Hubble is required by the U.S. Government to comply with various space technology export regulations including the International Traffic in Arms Regulations (ITAR). All applicants must be a U.S. citizen, lawful permanent resident (“green card holder”) as defined by ITAR (22 CFR §120.15). 

Hubble is committed to creating a diverse environment and is proud to be an equal opportunity employer. Each individual has the right to work in a professional environment that promotes equal employment opportunity and prohibits discriminatory practices, including harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.