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

As a Software Engineer in the Discovery team, you will tackle a diverse range of challenges in networking, autonomy, systems integration, robotics, and more. Your work will ensure seamless integration of Anduril products to achieve critical outcomes. You will work on a fast paced team and have opportunities to watch your creations operate in fielded deployment environments. Above all, Software Engineers at Anduril must embody a “Whatever It Takes” mindset—executing tasks expediently, scalably, and pragmatically while prioritizing the mission. You will make sound engineering decisions to deliver high-quality outcomes on time. In addition to building the software, you will work directly with customers to deploy it.

WHAT YOU’LL DO

• Work on challenging problems in a fast-paced environment from across our portfolio of programs and products
• Standing up the infrastructure, simulation solutions, and integrations for agent development
• Create data analysis and validation workflows
• Collaborate closely with customers, product designers, researchers, and other engineering teams to shape and build new software products and applications, optimizing for maximum value to the end user.
• Work with internal and external customers to understand simulation requirements and develop efficient modeling and simulation solutions for agent training
• Identify problems; solve them: implement robust, high-quality solutions

REQUIRED QUALIFICATIONS

• Bachelor’s Degree or higher in engineering, computer science, mathematics, physics, chemistry, or related technical discipline
• 3 - 8+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience building software solutions involving significant amounts of data processing and analysis
• Hands-on experience with Docker for building and managing containerized applications, deploying and scaling services on Kubernetes clusters, and configuring CI/CD pipelines
• 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

PREFERRED QUALIFICATIONS

• Demonstrated experience in machine learning training infrastructure and deployments
• Expertise in virtualization and containerization technologies
• Experience with SITL and HITL simulation infrastructure design, development and deployment for complex systems

ABOUT THE TEAM

Anduril Intelligence Systems (AIS) is focused on positioning Anduril as a lead provider of specialized engineering and next generation national security products for Intelligence Community (IC) customers and partners worldwide. We work with the IC and international partners to understand their requirements, shape their concepts of operation, and deliver exquisite capability across their problem set. We aim to develop and deploy critically needed capabilities that address our customers’ most pressing national security requirements.

ABOUT THE JOB

At Anduril, our Software Engineers are at the forefront of defense technology, crafting high-impact, cutting-edge solutions that redefine innovation. We are looking for experienced Software Engineers who will assist in driving, developing, and deploying unique Anduril products and capabilities to international customers. You'll dive into a diverse range of projects, partnering with brilliant minds across disciplines to engineer robust software systems that empower our mission-critical operations. We're seeking talented generalist software engineers on to contribute to projects that are shaping the future of defense.

WHAT YOU’LL DO

• Develop and maintain distributed systems that underpin Anduril's advanced defense technology applications.
• Design and implement core infrastructure and platform services that enable other engineers to scale their output
• Build and maintain backend and web development frameworks and networking solutions
• Assist in developing Anduril capabilities for international partners/markets
• Integrate model/software/hardware-in-the-loop components using first and third-party technologies
• Collaborate with team members and partners in the autonomy domain
• Create technologies and processes that enable users to safely and rapidly develop and deploy autonomous systems at scale
• Participate in technical design reviews and system architecture discussions
• Implement and maintain monitoring, logging, and data management solutions

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 3+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience building software solutions involving significant amounts of data processing and analysis
• 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
• Ability to travel up to 25% to both domestic and international locations, as needed
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience building or inventing something: an app, a website, game, or startup
• Professional software development lifecycle experience using tools such as version control, CI/CD systems, etc.
• Experience building scalable backend software systems with various data storage and processing requirements
• Experience with industry standard cloud platforms (AWS, Azure) and software infrastructure fundamentals
• Ability to quickly understand and navigate complex systems and established code bases
• Experience with modern build and deployment tooling (e.g., NixOS, Terraform)
• Experience designing complex software systems and iterating upon designs via technical design reviews
• Familiarity with industry standard monitoring, logging, and data management tools and best practices

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 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

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 site reliability engineer in Discovery, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve critical outcomes. 

You’ll work closely with software, data, and operations engineers to get systems into the hands of customers, deployed and supported on real infrastructure, with real users.

Above all, Site Reliability Engineers must be driven by a “Whatever It Takes” mindset—executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound decisions to deliver successful outcomes on-time and with high quality.

WHAT YOU’LL DO

• Improve Anduril’s operational capabilities by improving our core product offering through root cause analysis and creating tooling capable of managing large scale deployments
• Drive continuous organizational improvement by leading post-mortem events involving diverse stakeholders
• Quickly diagnose and resolve system issues across cloud, robotics, and mesh networking architectures
• Lead the organization in building scalable, sustainable mechanisms to continue delivering to customers at the pace the business is scaling
• Design, develop, and deliver solutions using modern technologies that ensure scalable and fault tolerant delivery of systems to the warfighter
• Build strong relationships with internal and external customers to identify technical solutions to their problems

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Top Secret security clearance
• STEM degree or equivalent technical experience
• Technical expertise and demonstrated performance in one or more of the following areas: networking, cloud technologies, application development, hardware design, and/or cybersecurity
• Minimum of 5 years of operations and engineering experience
• Proficiency with IaC tools (Terraform, Ansible).
• Experience with cloud platforms (Azure, AWS, GCP).
• Proficiency in containerization (Docker) and container orchestration (Kubernetes).
• 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

PREFERRED QUALIFICATIONS

• Ability to drive consensus across internal and external stakeholders
• Experience developing and delivering solution to evolving problems in complex environments
• Experience in the technical, programmatic, and operational challenges of developing and deploying autonomous weapon systems across command echelons
• Experience delivering and maintaining systems that run on air-gapped and security-hardened networks
• Experience building scalable solutions along with plans for implementation. Not just the end state, but what are the steps needed to get there while maintaining the customer experience
• Experience performing data-driven root cause analysis on complex systems
• Ability to understand, debug, and modify software written languages such as Go, Python, Rust, or C++
• Excellent written and verbal communication skills

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 Senior Software Engineer on Space Ground Software, you will own the architecture and deployment of software solutions that support customer missions for space operations and mission management. As a Senior Software Engineer, you will develop modular capabilities to support the DoD and IC customers across the space domain. This will involve the architecture of the Space C2 system based on top of the Anduril Lattice software platform, to include infrastructure, algorithms, and integrations to support both orbital and ground systems. The Anduril Space C2 capability development will involve integration with legacy systems that have been part of our nation’s critical defense for decades as well as new space systems being added to the cache of orbital and ground-based capabilities.

We work with mission partners and operators to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU'LL DO

• Own the software solutions that are deployed to customers
• Own the development of Space C2 and Mission Management capabilities to enable delivery of end-to-end mission systems
• Integrate with legacy systems to unlock 21st-century capabilities
• Write code to improve products and scale the mission capability to different users more customers
• Collaborate across multiple teams to plan, build, and test complex functionality
• Create and analyze metrics that are leveraged for debugging and monitoring
• Triage issues, root cause failures, and coordinate next-steps
• Partner with end-users to turn needs into features while balancing user experience with engineering constraints

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• Ability to quickly understand and navigate complex systems and detailed requirements
• Capable of solving complex technical problems with little oversight
• Clear communication and organizational skills including documentation and training material
• Ideally 8+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience with Space C2 software systems and spacecraft operations
• A desire to work on critical software that has a real-world impact
• Currently possesses and is able to maintain an active U.S. Top Secret SCI security clearance

PREFERRED QUALIFICATIONS

• Experience with Go, Rust, or C++
• Experience with deployment tooling such as Kubernetes, OpenShift, or Helm
• Previous exposure to space ground hardware like sensors, radars, telescopes
• Previous exposure to space-related simulation and hardware integration
• A desire to work on critical software in the space domain
• Experience with existing space software standards and modular software services development

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 Mission Software Engineer on Space Ground Software, you will own the architecture and deployment of software solutions that support customer missions for space operations and mission management. As a Senior Software Engineer, you will develop modular capabilities to support the DoD and IC customers across the space domain. This will involve the architecture of the Space C2 system based on top of the Anduril Lattice software platform, to include infrastructure, algorithms, and integrations to support both orbital and ground systems. The Anduril Space C2 capability development will involve integration with legacy systems that have been part of our nation’s critical defense for decades as well as new space systems being added to the cache of orbital and ground-based capabilities.

We work with mission partners and operators to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU'LL DO

• Own the software solutions that are deployed to customers
• Own the development of Space C2 and Mission Management capabilities to enable delivery of end-to-end mission systems
• Integrate with legacy systems to unlock 21st-century capabilities
• Write code to improve products and scale the mission capability to different users more customers
• Collaborate across multiple teams to plan, build, and test complex functionality
• Create and analyze metrics that are leveraged for debugging and monitoring
• Triage issues, root cause failures, and coordinate next-steps
• Partner with end-users to turn needs into features while balancing user experience with engineering constraints

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• Ability to quickly understand and navigate complex systems and detailed requirements
• Capable of solving complex technical problems with little oversight
• Clear communication and organizational skills including documentation and training material
• 3+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience with Space C2 software systems and spacecraft operations
• A desire to work on critical software that has a real-world impact
• Currently possesses and is able to maintain an active U.S. Top Secret SCI security clearance

PREFERRED QUALIFICATIONS

• Experience with Go, Rust, or C++
• Experience with deployment tooling such as Kubernetes, OpenShift, or Helm
• Previous exposure to space ground hardware like sensors, radars, telescopes
• Previous exposure to space-related simulation and hardware integration
• A desire to work on critical software in the space domain
• Experience with existing space software standards and modular software services development

About the Role

Applied Intuition is redefining vehicle intelligence across commercial and defense sectors. As a Forward Deployed Engineer, your responsibilities will look similar to those of a startup CTO: you'll work in small teams and own end-to-end execution of high stakes projects. You'll be the technical bridge between Applied Intuition's novel vehicle intelligence platforms and our customers' real-world operational environments.

This role demands both technical depth and operational excellence. You'll primarily work with defense and government customers, integrating our tools, Vehicle OS, and autonomy stacks with DOD platforms in challenging operational environments. The unique advantage: you'll leverage our robust commercial technology and rapidly evolving product suite to deliver capabilities that would take traditional defense contractors years to develop. You'll tackle problems spanning core software engineering, system deployment, hardware integration, and everything in between to ensure mission success.

At Applied Intuition, you will

• Work directly with defense and government customers to deploy, integrate, and operationalize Applied Intuition's vehicle intelligence products in military and government environments, from defense contractors to forward operating bases
• Tackle a broad range of technical challenges, including software engineering, operating system configuration, system deployment, and hardware integration
• Bridge customer-built systems and Applied’s solutions to deliver tangible value
• Design and implement scalable, consistent approaches for customer engagement and project execution
• Develop architectural solutions that improve consistency and scalability across projects
• Collaborate with internal engineering, product, and customer teams to ensure successful outcomes
• Take ownership of technical outcomes and drive projects to completion, adapting to changing requirements and priorities

We're looking for someone who has:

• Strong engineering background, preferred in fields such as Computer Engineering, Computer Science, Electrical Engineering
• Strong coder with demonstrated proficiency in programming languages such as C++, Python
• Broad technical experience across software engineering, operating systems, and some hardware
• Experience supporting integration and deployment of complex systems
• Exceptional problem-solving skills and a proven ability to thrive and innovate independently within highly ambiguous and rapidly evolving operational environments
• Excellent communication skills and focus on solving customer problems 

Nice to have:

• Prior experience working with government customers, defense contractors, or in military environments
• Familiarity with system architecture and designing scalable solutions
• Experience in defense, automotive, robotics, or adjacent industries

Security Requirements:

• Must be a U.S. Citizen
• Must hold or be eligible to obtain and maintain a U.S. security clearance

For more information about U.S. security clearances: click here.

Team Overview

The Platform Security Engineering (PSE) team builds security into Anduril's products from architecture through production. We work directly with business lines to design and implement security solutions tailored to their systems — then promote proven patterns into shared, composable platform services that the entire organization can use. Our mission is threefold: build security solutions for business lines, promote those solutions into the platform, and enable teams to build and operate securely on their own. The scope includes cryptographic protocol design, hardware root-of-trust architectures, secure communication for autonomous and robotic systems, operating system hardening, and distributed security infrastructure across embedded, edge, and cloud environments.

Job Description

We're looking for a principal-level engineer to serve as a technical leader for platform security across Anduril. This role combines deep expertise in cryptography, systems security, and secure architecture with the ability to drive security strategy across business lines and the platform. You'll own the design of Anduril's most critical security systems — cryptographic infrastructure for autonomous platforms, hardware root-of-trust architectures for robotic systems, secure communication protocols for contested environments — and you'll set the technical direction that shapes how security is built into every product. This is a role for someone who has designed and shipped security systems at the intersection of hardware, firmware, and software, and can lead others through complex technical decisions with lasting consequences.

Key Responsibilities

• Own the technical vision and architecture for platform security across Anduril's product ecosystem
• Design cryptographic systems, protocols, and key management architectures for autonomous and robotic platforms operating in contested and disconnected environments
• Lead the design of hardware root-of-trust architectures integrating TPMs, TEEs, HSMs, and secure boot across diverse embedded platforms
• Drive the strategy for promoting business-line security implementations into shared, composable platform services
• Serve as the senior technical authority for security architecture reviews across the organization, providing definitive guidance on cryptographic design, protocol security, and system hardening
• Define security patterns, reference architectures, and engineering standards that enable teams across Anduril to build securely and independently
• Mentor and develop senior engineers on the team, raising the bar for security engineering across the organization
• Represent Anduril's security engineering capabilities to customers, partners, and auditors when deep technical credibility is required
• Evaluate emerging threats, cryptographic standards, and security technologies, driving adoption where they strengthen the platform

Required Qualifications

• 12+ years of experience in software engineering, with significant depth in systems security and cryptography
• Expert-level knowledge of cryptographic protocol design, including key management architectures, certificate systems, and cryptographic agility
• Deep experience with hardware security: TPM, TEE, HSM, secure boot, and hardware root-of-trust design across multiple platform types
• Proficient in two or more of: C++, Rust, Go
• Experience designing security architectures for embedded, real-time, or robotic systems with constrained environments
• Track record of leading cross-organizational technical initiatives and driving architectural decisions that span multiple teams
• Strong ability to communicate complex security concepts to engineering leadership, product teams, and external stakeholders
• Experience performing and leading threat modeling, security architecture reviews, and cryptographic design reviews
• Eligible to obtain and maintain active U.S. Secret security clearance

Preferred Qualifications

• Experience with post-quantum cryptography, distributed key generation (DKG), or threshold cryptographic schemes
• Background in defense, aerospace, or autonomous systems with exposure to FIPS 140, Common Criteria, or NSA CSfC requirements
• Experience designing secure communication protocols for autonomous platforms or mesh networks
• Deep knowledge of Linux kernel security, mandatory access controls (SELinux/AppArmor), and OS hardening at scale
• Experience building and evolving platform security services consumed by dozens of teams
• Familiarity with compliance frameworks (STIGs, NIST 800-53, CMMC) and translating them into engineering controls that don't compromise developer velocity
• Publications, patents, or recognized contributions in cryptography or systems security
• Experience with Nix build systems and reproducible build pipelines for security-critical software

ABOUT THE TEAM

The Connected Warfare Software Engineering team builds, deploys, integrates, extends, and scales Anduril's software to deliver mission-critical capabilities to our customers. As the software engineers closest to Anduril customers and end-users, Mission Software Engineers solve technical challenges of operational scenarios while owning the end-to-end delivery of winning capabilities such as Counter Intrusion, Joint All Domain Command & Control, and Counter-Unmanned Aircraft Systems.

As a Software Engineer on the Mission Command Software Engineering team, you will solve a wide variety of problems involving networking, autonomy, systems integration, robotics, and more, while making pragmatic engineering tradeoffs along the way. Your efforts will ensure that Anduril products seamlessly work together to achieve a variety of critical outcomes. Above all, Mission Software Engineers are driven by a “Whatever It Takes” mindset—executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.

WHAT YOU’LL DO 

• Own the software solutions that are deployed to customers
• Write code to improve products and scale the mission capability to more customers
• Collaborate across multiple teams to plan, build, and test complex functionality
• Create and analyze metrics that are leveraged for debugging and monitoring
• Triage issues, root cause failures, and coordinate next-steps
• Partner with end-users to turn needs into features while balancing user experience with engineering constraints
• Travel up to 30% of time to build, test, and deploy capabilities in the real world

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret Clearance
• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• At least 4-10+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience building software solutions involving significant amounts of data processing and analysis
• 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

About the Role

We are seeking a Staff Software Engineer to lead our Distributed Simulation efforts. In this role, you will be responsible for building a new distributed simulation product to enable heterogeneous groups of robots to collaborate together across multiple physical sites. Ideal candidates will be comfortable at all stages of the product life cycle, from initial scoping of user requirements, to the architecture of a solution, to the implementation of that solution.

What You'll Do
You will be expected to use your prior expertise to make well-reasoned arguments for a design that accounts for:

• differing visions of “truth” on the server and client
• latency between clients and the server
• where to do GPU-intensive computation
• registering new robots with the network
• shipping software updates without compromising availability
• moving data across segregated networks
• monitoring of simulation state for post-exercise debugging and reporting

Required Qualifications

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Recent (<2 years in the past) experience writing and maintaining software codebases with significant complexity
• Prior experience in distributed simulation, especially from writing network-based multiplayer games or from a similar defense context
• Experience as a tech lead and mentor for teams of at least 5 other engineers

Preferred Qualifications

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 8+ years of software engineering experience including significant work in at least two of the following: C++, Golang, Java, Rust, Python
• Experience setting up CI/CD, metrics + logging infrastructure for a live service, and alerting
• Experience with cloud infrastructure: Docker, Kubernetes, Terraform, and AWS
• Experience with Nix

ABOUT THE JOB 

We're seeking a Security Software Engineer to develop novel security tooling for securing embedded Linux systems and Android devices. The ideal candidate can develop, test, and debug an endpoint detection and response agent with mission critical security responsibilities.

WHAT YOU’LL DO

• Design and develop cybersecurity tools for realtime embedded, embedded Linux, and Android systems.
• Implement an endpoint detection and response agent for use on Anduril products.
• Develop thorough testing and qualification procedures for security critical components.
• Collaborate with cross-functional teams to identify specific security needs and implement solutions.
• Conduct code reviews and ensure adherence to security best practices.
• Stay updated on the latest security threats and technologies.

REQUIRED QUALIFICATIONS 

• 2+ years of software development experience in some combination of Golang, Rust, or C/C++.
• Experience with Linux observability and eBPF.
• Strong understanding of Linux security internals.
• Experience debugging and optimizing performance of Linux software.
• Experience with CI/CD and test automation, including for mobile and embedded devices.
• Solid understanding of cybersecurity principles and practices.
• Ability to obtain and hold a U.S. Secret security clearance.

PREFERRED QUALIFICATIONS 

• Knowledge of security frameworks and compliance standards.
• Experience in mobile development, specifically on Android platforms.
• Experience implementing EDR tooling.
• Experience with SOC operations, forensics, and incident response practices.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

ABOUT THE TEAM

Anduril Labs is a multidisciplinary team of technologists, solution architects, engineers, and military subject matter experts. Its mission is to drive innovation across all Anduril business units and product lines by developing novel concepts and next-generation technologies that enhance Anduril’s competitive edge and give its customers a decisive technological advantage over its adversaries.

ABOUT THE JOB

We are looking for a talented full stack software engineer to join our growing team at Anduril Labs in Washington, DC. As a full stack software engineer in Anduril Labs, you will help bring innovative, next-generation concepts to life through proof-of-concept development and rapid prototyping using bleeding edge technologies.

The ideal candidate has exceptional software development and creative problem-solving skills, is a self-starter, and can quickly grasp complex concepts. As a full stack software engineer, you possess the skills to architect, develop, and deploy distributed applications and services, including both front-end and back-end components. You have experience with agile, end-to-end software development lifecycle and are comfortable developing and deploying code across Windows and Linux-based systems (including standalone bare-metal hardware, virtualized environments, and cloud-hosted platforms). Embedded software development experience is a plus. You are also proficient in integrating legacy code and systems, leveraging open-source technologies, and developing and utilizing APIs. Additionally, you have a solid understanding of AI/ML core concepts (e.g., feature extraction, supervised vs. unsupervised learning, regression, classification, clustering, deep learning neural networks, NLP, LLMs, SLMs, model fine-tuning, prompt engineering, RAG) and hands-on experience developing (Gen)AI-enhanced applications or services.

We also expect candidates to have familiarity with database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB) and experience with data modeling, data wrangling, analytics, and visualization. Since Anduril Labs supports all Anduril businesses and product lines, you will have the unique opportunity to work closely with multi-disciplinary engineering and product development teams across the entire company. This means you will get to directly contribute to the development of Anduril’s next-generation products and services. So if you thrive in a dynamic environment that values creative problem-solving, love writing code, excel as both an individual contributor and team player, are eager to learn, and bring a can-do attitude, this role is for you.

WHAT YOU’LL DO

• Lead the development of prototypes to demonstrate advanced concepts in areas like autonomous and multi-agent systems, GenAI, advanced data analytics, quantum computing/sensing/networking/comms/machine learning, modeling, simulation, optimization, visualization, next-gen human-machine interfaces, heterogenous computing, and cybersecurity.
• Own the entire Software Development Lifecycle from inception through development, testing, deployment, and documentation for Anduril Labs-developed software prototypes.
• Interface and collaborate with other Anduril and customer engineering teams, and strategic partners.
• Support Anduril- and customer-funded R&D efforts.
• Participate in field experiments and technology demonstrations.

REQUIRED QUALIFICATIONS

• 3+ years of programming with Python, C++, Java, Rust, Go, or JavaScript/TypeScript.
• Proven software architecture and design skills.
• Ability to quickly understand and navigate complex systems and established codebases.
• AI/ML development using commercial and open-source AI frameworks, models, and tools (e.g., Jupyter Notebook, PyTorch, TensorFlow, Scikit-learn, OpenAI, Claude, Gemini, Llama, LangChain, YOLO, AWS Sagemaker, Bedrock, Azure AI, RAG).
• Web app development (e.g., React, Angular, or Vue).
• Cloud development (e.g., AWS, Azure, or GCP).
• Data modeling and wrangling.
• Networking basics (e.g., DNS, TCP/IP vs. UDP, socket communications, LDAP, Active Directory)
• Database technologies (e.g., SQL, NoSQL, Graph DB, Vector DB).
• API development and integration (e.g., REST, GraphQL).
• Containerization technologies (e.g., Docker, Kubernetes).
• Software development on Linux and Windows.
• Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.
• Experience with Git version control, build tools, and CI/CD pipelines.
• Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.
• Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment.
• Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences.
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance

PREFERRED QUALIFICATIONS

• BS in Computer Science, Engineering, or similar field.
• Distributed applications development (e.g., client/server, microservices, multi-agent solutions).
• High performance computing (HPC) and big data technologies (e.g., Apache Spark, Hadoop).
• Mobile app development (e.g., iOS or Android).
• Embedded software development experience.
• Willingness to travel up to approximately 10%

We are seeking a Generative AI Chief Engineer Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

What You’ll Do

• Develop Advanced Agentic Software - Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning - Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration - Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation - Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation - Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Travel up to 40+% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.
• General software engineering experience solving motion planning or related robotics problems.

We are seeking a AI Chief Engineering Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

What You’ll Do

• Develop Advanced Agentic Software - Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning - Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration - Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation - Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation - Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Travel up to 40+% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.

ABOUT THE TEAM

The Air Dominance & Strike team at Anduril develops aerial and multi-domain robotic systems. The team is responsible for taking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product. The team also develops Lattice for Mission Autonomy, Anduril’s premier software platform that enables masses of Fury, Barracuda, and other first and third party robots to collaborate across various missions. We work in close coordination with specialist teams like Perception, Motion Planning, Hardware, and Test Engineering to solve some of the hardest problems facing our customers. We are looking for software engineers and roboticists excited about creating a powerful autonomy software stack that includes computer vision, motion planning, SLAM, controls, estimation, and secure communications.

REQUIRED QUALIFICATIONS

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• BS, MS, or PhD in Computer Science, Software Engineering, Mathematics, Physics, or related field.
• 3+ years of production-grade C++ and/or Rust experience in a Linux development environment
• Experience building software solutions involving significant amounts of data processing and analysis
• 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
• Travel up to 30% of time to build, test, and deploy capabilities in the real world

PREFERRED QUALIFICATIONS

• Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling & simulation (M&S) and physical systems
• Developing and testing multi-agent autonomous systems and deploying in real-world environments.
• Feature and algorithm development with an understanding of behavior trees.
• Developing software/hardware for flight systems and safety critical functionality.
• Distributed communication networks and message standards
• Knowledge of military systems and operational tactics

ABOUT THE TEAM

The Air Dominance & Strike team at Anduril develops aerial and multi-domain robotic systems. The team is responsible for taking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product. The team also develops Lattice for Mission Autonomy, Anduril’s premier software platform that enables masses of Fury, Barracuda, and other first and third party robots to collaborate across various missions. We work in close coordination with specialist teams like Perception, Motion Planning, Hardware, and Test Engineering to solve some of the hardest problems facing our customers. We are looking for software engineers and roboticists excited about creating a powerful autonomy software stack that includes computer vision, motion planning, SLAM, controls, estimation, and secure communications.

REQUIRED QUALIFICATIONS

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• BS, MS, or PhD in Computer Science, Software Engineering, Mathematics, Physics, or related field.
• 3+ years of production-grade C++ and/or Rust experience in a Linux development environment
• Experience building software solutions involving significant amounts of data processing and analysis
• 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
• Travel up to 30% of time to build, test, and deploy capabilities in the real world

PREFERRED QUALIFICATIONS

• Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling & simulation (M&S) and physical systems
• Developing and testing multi-agent autonomous systems and deploying in real-world environments.
• Feature and algorithm development with an understanding of behavior trees.
• Developing software/hardware for flight systems and safety critical functionality.
• Distributed communication networks and message standards
• Knowledge of military systems and operational tactics

ABOUT THE TEAM

The Air Dominance & Strike team at Anduril develops aerial and multi-domain robotic systems. The team is responsible for taking products like Fury (unmanned fighter jet) and Barracuda (air-breathing cruise missile) from concept to product. The team also develops Lattice for Mission Autonomy, Anduril’s premier software platform that enables masses of Fury, Barracuda, and other first and third party robots to collaborate across various missions. We work in close coordination with specialist teams like Perception, Motion Planning, Hardware, and Test Engineering to solve some of the hardest problems facing our customers. We are looking for software engineers and roboticists excited about creating a powerful autonomy software stack that includes computer vision, motion planning, SLAM, controls, estimation, and secure communications.

REQUIRED QUALIFICATIONS

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• 3+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience building software solutions involving significant amounts of data processing and analysis
• 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

PREFERRED QUALIFICATIONS

• Strong background with focus in Physics, Mathematics, and/or Motion Planning to inform modeling & simulation (M&S) and physical systems
• Developing and testing multi-agent autonomous systems and deploying in real-world environments
• Feature and algorithm development with an understanding of behavior trees
• Developing software/hardware for flight systems and safety critical functionality
• Distributed communication networks and message standards
• Knowledge of military systems and operational tactics

ABOUT THE TEAM
Anduril Labs is a multidisciplinary team of technologists, solution architects, engineers, and military subject matter experts. Its mission is to drive innovation across all Anduril business units and product lines by developing novel concepts and next-generation technologies that enhance Anduril’s competitive edge and give its customers a decisive technological advantage over its adversaries.

ABOUT THE JOB
We are looking for a talented mid-level Software Engineer with a strong background in optimization to join our growing team at Anduril Labs. In this role, you will be instrumental in developing advanced algorithms and software solutions to tackle complex, multi-domain optimization problems critical to national defense and Anduril’s autonomous systems.

The ideal candidate possesses deep expertise in classical optimization algorithms, robust Python programming skills, and a solid foundation in data modeling. Experience with developing hybrid quantum optimization solutions is a plus. You will leverage state-of-the-art, GenAI-powered development tools such as Claude Code to accelerate solution development and enhance our optimization software. This role demands creative problem-solving, a self-starter mentality, and the ability to rapidly apply algorithmic theory and mathematic modeling to practical, real-world optimization challenges. You will be designing, implementing, and deploying optimization algorithms and services that integrate seamlessly into larger defense systems, working across various platforms (on-prem, cloud, and hybrid quantum computing environments). Familiarity with modeling linear and non-linear optimization problems, rapid prototyping, integrating optimization solutions into existing architectures, leveraging APIs, and utilizing open-source tools will be crucial.

If you thrive in a dynamic environment that values creative problem-solving, love writing code, excel as both an individual contributor and team player, are eager to learn, and bring a can-do attitude, this role is for you.

WHAT YOU’LL DO

• Design, develop, and implement highly efficient optimization algorithms and software solutions to solve challenging problems in areas such as resource allocation, scheduling, routing, mission planning, control systems, and supply chain logistics.
• Apply classical optimization techniques (e.g., linear programming, mixed-integer linear programming, combinatorial optimization, network flow, dynamic programming, heuristics, metaheuristics) to model and explore novel approaches.
• Utilize GenAI tools (e.g., OpenAI Codes, Claude Code, GitHub Copilot) to rapidly prototype, refine, and test algorithmic solutions, improving development velocity and code quality.
• Develop robust data models and efficient data pipelines to support complex optimization problems, ensuring data integrity and efficient processing for algorithmic inputs and outputs.
• Collaborate with multidisciplinary teams (software engineers, data scientists, domain experts, product managers) to integrate optimization engines and services into larger defense systems and platforms.
• Perform rigorous testing, validation, and performance analysis of optimization solutions, ensuring scalability, reliability, and accuracy under diverse operational conditions.
• Participate actively in the entire Software Development Lifecycle (SDLC) from requirements gathering and design to deployment, monitoring, and maintenance.
• Support Anduril- and customer-funded R&D efforts, contributing to technical documentation, presentations, and patent applications.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Software Engineering, Applied Mathematics, Operations Research, or a related quantitative field.
• 3+ years of professional experience in software development with a dedicated focus on optimization, algorithmic problem-solving, or operations research.
• Experience solving optimization problems in defense, transportation, supply chain, logistics, network optimization, smart grids or similar
• Expert proficiency in Python for scientific computing and robust software development.
• Strong theoretical and practical understanding of classical optimization algorithms (e.g., linear programming, mixed-integer linear programming, constraint programming, network flow, dynamic programming, heuristics, meta heuristics).
• Hands-on experience with optimization libraries and commercial/open-source solvers (e.g., SciPy Optimize, PuLP, CVXPY, Gurobi, CPLEX, OR-Tools, GEKKO). Experience with Gurobi is a plus.
• Solid experience with data modeling, data structures, and algorithms to efficiently prepare, process, and manage data for optimization problems.
• Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.
• Proficiency in using numerical computing libraries such as NumPy, SciPy, and Pandas.
• Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.
• Ability to develop, test, and deploy software effectively on Linux-based systems.
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.
• Experience with Git version control, build tools, and CI/CD pipelines.
• Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment.
• Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences.

PREFERRED QUALIFICATIONS

• • Master's or Ph.D. in Computer Science, Applied Mathematics, Operations Research, or a closely related quantitative field.
  • Familiarity with or a strong interest in quantum optimization algorithms, quantum computing concepts, or quantum-inspired heuristic approaches. Experience with D-Wave’s quantum annealing platform is a plus.
  • Experience with performance-critical programming languages such as C++ or Java.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying scalable optimization solutions or high-performance computing (HPC) environments.
  • Prior experience in defense, aerospace, logistics, supply chain management, robotics, or manufacturing optimization domains.
  • Familiarity with integrating machine learning models with optimization techniques (e.g., prescriptive analytics, reinforcement learning for optimization).
  • Excellent communication skills with the ability to articulate complex technical concepts, present findings, and influence technical direction across diverse teams.
  • Willingness to travel up to approximately 10%.

ABOUT THE TEAM
Anduril Labs is a multidisciplinary team of technologists, solution architects, engineers, and military subject matter experts. Its mission is to drive innovation across all Anduril business units and product lines by developing novel concepts and next-generation technologies that enhance Anduril’s competitive edge and give its customers a decisive technological advantage over its adversaries.

ABOUT THE JOB
We are seeking a talented and innovative Quantum Software Engineer to join our forward-looking team at Anduril Labs. In this role, you will be instrumental in building and delivering impactful quantum solutions for both Anduril-internal use cases and external customer applications. You will work closely with delivery leads, application developers, and other solutions architects, as well as internal and external partners to design, implement, and deliver bleeding edge quantum solutions on state-of-the-art quantum-inspired, quantum annealing, and quantum gate platforms for real-world defense and national security challenges.

The ideal candidate will combine a strong foundation in quantum computing principles with hands-on classical and quantum software development expertise. You will leverage your skills to translate complex problems into (hybrid) quantum algorithms, applications, and services. This includes developing robust software implementations, and integrate quantum-enhanced solutions into existing and new defense systems. If you are passionate about applying theoretical quantum concepts to deliver tangible, high-impact results, and thrive in an environment that values innovation, collaboration, and rapid prototyping, we encourage you to apply.

WHAT YOU’LL DO

• Be a key contributor to the development of next-generation quantum-enhanced Anduril offerings and lead the design, development, and deployment of novel quantum-enhanced applications and services in the defense and national security domain.
• Develop impactful hybrid quantum algorithms and applications that promise significant decision advantages and focus on practical scalability and real-world applicability.
• Contribute knowledge of classical and quantum optimization algorithms and tools, evaluating, and communicating their pros and cons, current state-of-the-art, scaling behaviors, trade-offs, and cross-over points.
• Participate in the full (hybrid) quantum software development lifecycle, from concept and design to testing, deployment, and ongoing maintenance.

REQUIRED QUALIFICATIONS

• Bachelor's degree in Computer Science, Quantum Information Science, Physics, Mathematics, or a closely related technical field.
• 3+ years of hands-on, professional software development experience with C, C++, Python, or another general-purpose compiled programming language.
• Practical experience in quantum computing, including programming quantum applications, or quantum circuit compilation.
• Proficiency with one or more leading quantum programming languages, SDKs, or APIs such as Qiskit, CUDA-Q, Q#, Cirq, PennyLane, or similar.
• Expertise in key mathematical techniques foundational to quantum computing, including linear algebra, matrix decompositions, probability theory, group theory, symmetry, and computational complexity.
• Proficient with database systems and SQL, with hands-on experience working with relational databases (e.g., PostgreSQL, Oracle, MySQL).
• Experience with Git version control, build tools, and CI/CD pipelines.
• Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.
• Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment.
• Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences.
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.
• Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.

PREFERRED QUALIFICATIONS

• Master's or Ph.D. in Quantum Information Science, Physics, Computer Science, or a related quantitative field.
• Familiarity with leading classical optimization tools and solvers (e.g., CPLEX, Gurobi, OR-Tools) and knowledge of mathematical modeling and classical optimization solution techniques.
• Experience building and deploying applications to solve complex business or defense problems for customers.
• Proven record of successful on-time delivery of complex software projects with a high degree of predictability and quality.
• Experience with deployment of code in distributed environments, cloud application development (e.g., AWS, Azure, GCP), and RESTful API-driven architectures.
• Experience with high-performance computing (HPC) environments or parallel programming.
• Familiarity with quantum hardware platforms and their unique characteristics.
• Prior experience in defense, aerospace, or related industries applying advanced technologies.
• Willingness to travel up to approximately 10%.

ABOUT THE JOB 

We're seeking a Security Software Engineer with a specialization in crypto services and key management to develop novel security tooling for securing our suite of products. The ideal candidate can develop, test, and debug embedded software with mission-critical security responsibilities.

WHAT YOU’LL DO

• Design and develop cybersecurity tools for realtime embedded, embedded Linux, and Android systems.
• Design and develop resilient software supporting all phases of key handling on embedded systems - from key load through sanitization.
• Develop thorough testing and qualification procedures for security critical components.
• Collaborate with cross-functional teams to identify specific security needs and implement solutions.
• Conduct code reviews and ensure adherence to security best practices.
• Stay updated on the latest security threats and technologies.

REQUIRED QUALIFICATIONS 

• 2+ years of software development experience in some combination of Golang, Rust, or C/C++.
• Experience selecting and utilizing embedded HSMs and Secure Elements.
• Experience with CI/CD and test automation, including for mobile and embedded devices.
• Experience debugging embedded systems using common test equipment - logic analyzers, oscilloscopes, etc.
• Solid understanding of cybersecurity principles and practices.
• Ability to obtain and hold a U.S. Secret security clearance.

PREFERRED QUALIFICATIONS 

• Knowledge of security frameworks and compliance standards.
• Experience in mobile development, specifically on Android platforms.
• Familiarity with cloud infrastructure management (Terraform and/or AWS CDK).
• Experience implementing solutions compliant with US Government key handling requirements.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

ABOUT THE JOB

At Anduril, our Software Engineers are at the forefront of defense technology, crafting high-impact, cutting-edge solutions that redefine innovation. You'll dive into a diverse range of projects, partnering with brilliant minds across disciplines to engineer robust software systems that empower our mission-critical operations. We're seeking talented backend generalist software engineers on several teams to contribute to projects that are shaping the future of defense.

WHAT YOU’LL DO

• Design, develop, and maintain scalable, reliable, and secure back-end services that power our mission-critical applications and systems.
• Architect and implement robust data models, databases, and data pipelines to support extensive data processing, analysis, and storage requirements.
• Collaborate with front-end engineers, robotics engineers, and other stakeholders to define service requirements and ensure seamless integration of back-end components.
• Optimize system performance, identify bottlenecks, and implement solutions for efficient data flow and application responsiveness.
• Contribute to the entire software development lifecycle, from conceptualization and design to implementation, testing, deployment, and ongoing maintenance of distributed systems.

REQUIRED QUALIFICATIONS

• Strong Technical Foundation: A solid academic background in Computer Science, Software Engineering, Mathematics, or Physics, providing a deep understanding of computer systems and algorithms.
• Proficient in Backend Languages: Minimum of 5 years of hands-on experience developing production-ready back-end software using languages such as Go, Python, Java, Rust, or C++.
• Data Systems Expertise: Demonstrated success in designing, implementing, and managing various data storage solutions (e.g., relational databases, NoSQL databases) and building efficient data processing pipelines.
• Mastering Complex Systems: Aptitude for quickly learning and effectively contributing within sophisticated, distributed back-end systems and codebases.
• Driven by Real-World Impact: A proactive drive and enthusiasm for developing mission-critical back-end software that demonstrably supports vital operations and makes a significant real-world difference.
• Currently possesses and is able to maintain an active U.S. Top Secret security clearance

This job post is inclusive of openings within various teams. Successful candidates will be matched to a specific team at a subsequent stage of the recruitment process.

The roles considered for this job post may require travel. The extent of travel will vary by role.

ABOUT THE JOB

We are hiring a Senior Software Engineer to design, improve, and maintain the core package set which supports software distribution throughout Anduril. This involves creating internal tooling, establishing standards, planning architectural changes, and supporting users of the package set. You are expected to provide expertise for the usage of Nix at a large scale and assist in training other engineers. You should be capable of operating autonomously with limited oversight in a complex environment, and have the ability to break down intricate problems into simple solutions.

WHAT YOU'LL DO

• Maintain an internal package set in order to enable software distribution across the company for development, hosted services, and embedded devices
• Package open-source and proprietary software components using Nix
• Improve developer ergonomics by defining Nix usage standards, creating tooling support, and integrating with developer workflows
• Provide assistance, training, and mentorship to other team members

REQUIRED QUALIFICATIONS

• Proficiency with Nix, Nixpkgs, NixOS, and functional programming generally
• Deep understanding of how build systems and packaging ecosystems work
• Ability to dive into large and complicated systems, and use Nix to improve them
• Experience with one or more of the following languages: Rust, C++, Go, Python, Haskell
• Eligible to obtain and maintain an active U.S. Secret security clearance

PREFERRED QUALIFICATIONS

• Experience with managing cloud computing resources (eg: AWS)
• Experience with modern build and deployment tooling, and continuous integration (e.g. NixOS, Terraform)
• Experience designing complex software systems, and iterating upon designs via a technical design review process
• Familiarity with industry standard monitoring, logging, and data management tools and best practices
• A bias towards rapid delivery and iteration

Team Overview

The Platform Security Engineering (PSE) team builds security into Anduril's products from architecture through production. We work directly with business lines to design and implement security solutions tailored to their systems — then promote proven patterns into shared, composable platform services that the entire organization can use. Our mission is threefold: build security solutions for business lines, promote those solutions into the platform, and enable teams to build and operate securely on their own. The work spans cryptographic protocols, operating system hardening, secure boot, hardware security integration, authentication systems, and distributed protocol security across embedded, edge, and cloud environments.

Job Description

We're looking for senior and staff-level software engineers to design and build security solutions across Anduril's product ecosystem. You'll partner directly with business line engineering teams to understand their systems, threat models, and security requirements — then design and implement solutions that range from custom, business-line-specific implementations to shared platform services. The problems you'll work on span the full stack — secure hardware, operating systems, container orchestration, distributed services, and cloud infrastructure — and you'll move between them as the mission demands. We value engineers who are strong generalists: comfortable learning new domains quickly and working across security boundaries rather than specializing in just one.

We're also open to hiring talented software engineers with less security-specific experience, provided they have a strong track record building production software at scale, learn fast, and are motivated to go deep on security.

Key Responsibilities

• Design and implement security features and services for business line products — including custom solutions when platform capabilities don't yet exist
• Identify patterns across business line implementations and promote them into shared, composable platform security services
• Build tooling, libraries, and reference implementations that enable engineering teams to adopt secure patterns independently
• Lead security architecture reviews and threat modeling for business line and platform systems
• Implement cryptographic protocols, key management systems, and certificate infrastructure
• Work across the technology stack: secure hardware (TPM, TEE), operating systems, container orchestration, and application-layer security
• Provide hands-on engineering support to business line teams adopting platform security services
• Collaborate with the Security Applications & Tools team on cross-cutting security infrastructure

Required Qualifications

• 6+ years of experience designing and developing production software in large-scale environments (8+ for Staff level)
• Proficient in at least one of: C++, Rust, or Go
• Strong software engineering fundamentals: you can design, build, and operate complex systems and pick up new domains quickly
• Experience working on security for distributed systems, or demonstrated ability and motivation to develop deep security expertise
• Ability to work directly with product and engineering teams to translate requirements into working implementations
• Comfortable working across multiple problem domains rather than specializing in a single area
• Strong communication skills with proven ability to negotiate and reach consensus across teams
• Eligible to obtain and maintain active U.S. Secret security clearance

Preferred Qualifications

Experience or willingness to learn in a subset of the following:

• Designing and implementing secure protocols, APIs, or cryptographic systems
• Integrating secure hardware (TPM, TEE, HSM)
• Operating system security and hardening (Linux)
• Securing Kubernetes deployments and container runtimes
• Embedded systems or robotics security
• Secure cloud architectures (AWS or Azure)
• Performing security architecture reviews and threat modeling

Additionally valuable:

• Proficient in: TypeScript, React, Python
• Experience building shared libraries, SDKs, or platform services consumed by other engineering teams
• Knowledge of cryptographic primitives and best practices (key management, certificate lifecycles, secure key storage)
• Familiarity with compliance frameworks (STIGs, NIST) and translating requirements into engineering controls
• Experience with Nix build systems

About the role

Applied Intuition is redefining vehicle intelligence across commercial and defense sectors. As a Software Engineer, your responsibilities will look similar to those of a startup CTO: you'll work in small teams and own end-to-end execution of high stakes projects. You'll be the technical bridge between Applied Intuition's novel vehicle intelligence platforms and our customers' real-world operational environments.

This role demands both technical depth and operational excellence. You'll primarily work with defense and government customers, integrating our tools, Vehicle OS, and autonomy stacks with DOD platforms in challenging operational environments. The unique advantage: you'll leverage our robust commercial technology and rapidly evolving product suite to deliver capabilities that would take traditional defense contractors years to develop. You'll tackle problems spanning core software engineering, system deployment, hardware integration, and everything in between to ensure mission success.

This role is perfect for someone who thrives in dynamic environments, enjoys ownership, is passionate about defense technology and is eager to make a significant impact on national security.

At Applied Intuition, you will:

• Work directly with defense and government customers to deploy, integrate, and operationalize Applied Intuition's vehicle intelligence products in military and government environments—from defense contractors to forward operating bases
• Tackle a broad range of technical challenges, including software engineering, operating system configuration, system deployment, and hardware integration
• Bridge customer-built systems and Applied’s solutions to deliver tangible value
• Design and implement scalable, consistent approaches for customer engagement and project execution
• Develop architectural solutions that improve consistency and scalability across projects
• Collaborate with internal engineering, product, and customer teams to ensure successful outcomes
• Take ownership of technical outcomes and drive projects to completion, adapting to changing requirements and priorities

We're looking for someone who has:

• 3 + years professional software engineering experience 
• Strong engineering background, preferred in fields such as Computer Engineering, Computer Science, Electrical Engineering
• Strong coder with demonstrated proficiency in programming languages such as C++, Python
• Broad technical experience across software engineering, operating systems, and some hardware
• Experience supporting integration and deployment of complex systems
• Exceptional problem-solving skills and a proven ability to thrive and innovate independently within highly ambiguous and rapidly evolving operational environments
• Excellent communication skills and focus on solving customer problems 

Security Requirements:

• Must be a U.S. Citizen
• Must hold or be eligible for a U.S. Secret security clearance

For more information about U.S. security clearances: click here.

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $140,000 - $180,000 USD annually.

ABOUT THE JOB

The ACLU seeks applicants for the full-time position of Deputy Project Director in the Capital Punishment Project of the ACLU’s National office in Washington, DC; San Francisco, CA; Durham, NC or New York, NY. This is a hybrid role that has in-office requirements of two (2) days per week or eight (8) days per month. 

The Capital Punishment Project, part of the ACLU’s Center for Justice, challenges the unfairness and arbitrariness of capital punishment while working toward the ultimate goal of abolishing the death penalty. The Project engages in public advocacy and strategic litigation, including the direct representation of capital defendants, challenges to systemic problems in the administration of capital punishment, and amicus briefing.

WHAT YOU'LL DO 

Reporting to the Project Director, the Deputy Project Director will be responsible for assisting the Project Director in: setting and leading the Project’s strategy; supervising staff; overseeing litigation; recruiting diverse and excellent candidates; onboarding and mentoring staff; managing internship and fellowship programs; liaising with other departments, including National Policy and Advocacy Department (NPAD) and Communications; and other management and administrative duties as directed.

YOUR DAY TO DAY

Strategy and Management 

• Readiness to align with management including, collaborating with and sharing ownership of decisions made by the Project Director, Center Director, and Senior Staff
• Assist Project Director with development and implementation of annual strategic plan, including:
  • Setting short- and long-term goals and reviewing substantive filings and internal communications to ensure alignment with strategic priorities
  • Collaboration with NPAD and the Communications Department
  • Collaboration with state affiliates and other partners

Supervision and Staffing 

• Directly supervise attorneys, legal fellows and support staff, including monthly check-ins and approval of expense reports and time off
• Assist Project Director in:
  • Supporting staff retention, feedback, and professional development efforts for all project staff
  • Making staffing decisions by ensuring balance of work across project staff, including opportunities for writing, discovery, witness examinations, arguments, and other professional growth
• With a focus on developing and maintaining an excellent and diverse staff, undertake the following responsibilities: 
  • Managing processes for hiring and onboarding new staff, fellows, and interns, which includes recruiting excellent candidates and furthering our board-mandated goal to increase the percentage of staff with disabilities and significant disabilities and working in furtherance of our other announced diversity hiring initiatives
  • Lead sustained efforts to create and nurture pools of diverse candidates from which to recruit 

Administration 

• Assume responsibility for ongoing administrative functions such as maintenance of the case docket and legal database, completion of the time survey, recruitment of pro bono firms, ensuring co-counseling agreements are in place, among other work, as directed
• Assist the Project Director with expense tracking and budgeting as directed 

Litigation and Advocacy 

• Assist Project Director with reviewing substantive filings
• Coordinate the Project’s work in the United States Supreme Court: review requests for amicus briefs and representation, write and edit as appropriate briefs in selected cases in connection with National Legal Director, and recruit amici or cooperating counsel where appropriate
• Supervise litigation teams
• Engage in litigation in federal and state court, including drafting pleadings, briefs, and affidavits; conducting discovery and motion practice; handling hearings and trials; and arguing appeals in both federal and state courts
• In consultation with Project Director and the ACLU Communications Department, represent CPP / ACLU in public-facing meetings / speaking events / media opportunities that cut across multiple issues / cases
• Collaborate with staff across the organization, including with other Projects within the ACLU’s Legal Department, Communications, Affiliate Support and Nationwide Initiatives, National Political Advocacy Department, and state affiliates
• Build relationships with stakeholders and conduct outreach to national, state, and community partners to develop coalitions and further advocacy goals
• Provide technical assistance and legal advice to ACLU affiliates, cooperating attorneys and others who seek assistance from NSP
• Travel as required for litigation, conferences, and case and strategy development

FUTURE ACLU'ERS WILL 

• Be committed to advancing the mission of the ACLU
• Center and embed the principles of equity, inclusion and belonging in their work by demonstrating commitment to diversity with an approach that respects and values multiple perspectives
• Be committed to work collaboratively and respectfully toward resolving obstacles and conflicts

WHAT YOU'LL BRING

• J.D. degree and significant national security and civil rights and liberties litigation experience
• Bar admission
• Commitment to the mission of the ACLU
• Experience and demonstrated aptitude for supervising staff
• Demonstrated commitment to work collaboratively and respectfully toward resolving obstacles and/or conflicts
• Ten or more years of legal experience, preferred
• Excellent legal analytical, research, and oral skills, preferred
• Demonstrated ability to write and communicate clearly and persuasively for non-legal audiences, including television, print, and digital media, preferred
• Experience with strategic planning, preferred
• Employment at the ACLU National Office for at least two years is preferred, but not required

COMPENSATION

WHY THE ACLU

For over 100 years, the ACLU has worked to defend and preserve the individual rights and liberties guaranteed by the Constitution and laws of the United States. Whether it’s ending mass incarceration, achieving full equality for the LGBTQ+ community, establishing new privacy protections for our digital age, or preserving the right to vote or the right to have an abortion, the ACLU takes up the toughest civil liberties cases and issues to defend all people.

We know that great people make a great organization. We value our people and know that what we offer is essential not just their work, but to their overall well-being. 

At the ACLU, we offer a broad range of benefits, which include:

• Time away to focus on the things that matter with a generous paid time-off policy
• Focus on your well-being with comprehensive healthcare benefits (including medical, dental and vision coverage, parental leave, gender affirming care & fertility treatment)
• Plan for your retirement with 401k plan and employer match
• We support employee growth and development through annual professional development funds, internal professional development programs and workshops

OUR COMMITMENT TO ACCESSIBILITY, EQUITY, DIVERSITY & INCLUSION

Accessibility, equity, diversity and inclusion are core values of the ACLU and central to our work to advance liberty, equality, and justice for all. For us diversity, equity, accessibility, and inclusion are not just check-the-box activities, but a chance for us to make long-term meaningful change.  We are a community committed to learning and growth, humility and grace, transparency and accountability. We believe in a collective responsibility to create a culture of belonging for all people within our organization – one that respects and embraces difference; treats everyone equitably; and empowers our colleagues to do the best work possible. We are as committed to anti-oppression, anti-ableism, and anti-racism internally as we are externally. Because whether we’re in the courts or in the office, we believe ‘We the People’ means all of us.

With this commitment in mind, we strongly encourage applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, veteran status and record of arrest or conviction, or any other characteristic protected by applicable law.    

The ACLU is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and need assistance applying online, please email benefits.hrdept@aclu.org. If you are selected for an interview, you will receive additional information regarding how to request an accommodation for the interview process. 

About the role

Applied Intuition is redefining vehicle intelligence across commercial and defense sectors. As a Senior Engineer, your responsibilities will look similar to those of a startup CTO: you'll work in small teams and own end-to-end execution of high stakes projects. You'll be the technical bridge between Applied Intuition's novel vehicle intelligence platforms and our customers' real-world operational environments.

This role demands both technical depth and operational excellence. You'll primarily work with defense and government customers, integrating our tools, Vehicle OS, and autonomy stacks with DOD platforms in challenging operational environments. The unique advantage: you'll leverage our robust commercial technology and rapidly evolving product suite to deliver capabilities that would take traditional defense contractors years to develop. You'll tackle problems spanning core software engineering, system deployment, hardware integration, and everything in between to ensure mission success.

At Applied Intuition, you will:

• Work directly with defense and government customers to deploy, integrate, and operationalize Applied Intuition's vehicle intelligence products in military and government environments—from defense contractors to forward operating bases
• Tackle a broad range of technical challenges, including software engineering, operating system configuration, system deployment, and hardware integration
• Bridge customer-built systems and Applied’s solutions to deliver tangible value
• Design and implement scalable, consistent approaches for customer engagement and project execution
• Develop architectural solutions that improve consistency and scalability across projects
• Collaborate with internal engineering, product, and customer teams to ensure successful outcomes
• Take ownership of technical outcomes and drive projects to completion, adapting to changing requirements and priorities

We're looking for someone who has:

• 3 + years professional software engineering experience 
• Strong engineering background, preferred in fields such as Computer Engineering, Computer Science, Electrical Engineering
• Strong coder with demonstrated proficiency in programming languages such as C++, Python
• Broad technical experience across software engineering, operating systems, and some hardware
• Experience supporting integration and deployment of complex systems
• Exceptional problem-solving skills and a proven ability to thrive and innovate independently within highly ambiguous and rapidly evolving operational environments
• Excellent communication skills and focus on solving customer problems 

Nice to have:

• Prior experience working with government customers, defense contractors, or in military environments
• Familiarity with system architecture and designing scalable solutions
• Experience in defense, automotive, robotics, or adjacent industries

Security Requirements:

• Must be a U.S. Citizen
• Must hold or be eligible to obtain and maintain a U.S. security clearance

For more information about U.S. security clearances: click here.

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