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

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 Signal Processing Engineer to join our rapidly growing team in Washington DC. In this role, you will be responsible for leading the development discrimination algorithms that separate threats from non-threats, decoys, and debris using EO/IR sensor data for space and missile defense missions. You will design signal processing pipelines including detection, feature extraction, image processing, and develop advanced decision logic to enhance classification performance. This will require deep expertise in signal processing for EO/IR sensors, classification algorithms, detection theory, and proficiency in algorithm development. If you are someone who loves the challenge of extracting signal from noise, thrives on building algorithms that work in contested and degraded environments, and wants to see your work protecting forces against emerging threats in space, then this role is for you.

WHAT YOU’LL DO

• Lead the development of discrimination algorithms for EO/IR sensors that classify and distinguish threats from decoys, debris, and clutter in real-time operational environments
• Design and implement signal processing pipelines including detection algorithms, feature extraction, image processing, and measurement generation from sensor data
• Develop and integrate advanced decision logic to enhance classification performance and adapt to evolving threat environments
• Analyze and optimize algorithms for EO/IR sensor phenomenology including noise characteristics, SNR considerations, resolution limits, and environmental effects
• Build physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate discrimination performance
• Develop analysis tools to characterize discrimination algorithm performance under challenging conditions such as countermeasures, clutter, and degraded sensing environments
• Collaborate with software engineers to transition discrimination algorithms from prototypes to production code optimized for operational deployment
• Mentor engineers and provide technical leadership on signal processing approaches and best practices
• Engage with customers and stakeholders to understand mission needs, present discrimination solutions, and demonstrate system performance

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 a related technical field
• 8+ years of experience designing, implementing, and testing signal processing algorithms for EO/IR sensors or similar sensing modalities in aerospace or defense systems
• Proven expertise in EO/IR sensor phenomenology including noise characteristics, detection theory, SNR analysis, resolution limits, and environmental effects
• Strong proficiency with signal processing techniques including detection algorithms, filtering, and measurement generation from sensor data
• Proficiency in algorithm development and coding with demonstrated experience transitioning algorithms to production environments
• Experience with modeling, simulation, and testing workflows including physics-based modeling, Monte Carlo analysis, or hardware-in-the-loop environments
• Demonstrated technical leadership experience with ability to mentor engineers and drive technical direction
• Ability to work collaboratively with software engineers, systems engineers, and test teams to integrate algorithms into operational systems

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• Experience with space or missile defense systems, threat discrimination, or intercept systems
• Proven expertise developing advanced decision logic or adaptive algorithms for classification workflows
• Demonstrated experience with pattern recognition, computer vision, or image processing for defense applications
• Experience handling discrimination challenges including countermeasures, spoofing, and contested/degraded sensing environments
• Background in fire control systems, guidance/navigation/control (GNC) integration, or kill vehicle systems
• Experience with radar systems, RF signal processing, or multi-modal sensor fusion
• Demonstrated experience working within systems engineering processes including requirements management, trade studies, and verification/validation
• Experience with MBSE tools (Cameo, Rhapsody, DOORS) or systems engineering toolchains

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 Signal Processing Engineer to join our rapidly growing team in Washington DC. In this role, you will be responsible for developing discrimination algorithms that separate threats from non-threats, decoys, and debris using EO/IR sensor data for space and missile defense missions. You will design signal processing pipelines including detection, feature extraction, image processing, and develop advanced decision logic to enhance classification performance. This will require deep expertise in signal processing for EO/IR sensors, classification algorithms, detection theory, and proficiency in algorithm development. If you are someone who loves the challenge of extracting signal from noise, thrives on building algorithms that work in contested and degraded environments, and wants to see your work protecting forces against emerging threats in space, then this role is for you.

WHAT YOU’LL DO

• Develop discrimination algorithms for EO/IR sensors that classify and distinguish threats from decoys, debris, and clutter in real-time operational environments
• Design and implement signal processing pipelines including detection algorithms, feature extraction, image processing, and measurement generation from sensor data
• Develop and integrate advanced decision logic to enhance classification performance and adapt to evolving threat environments
• Analyze and optimize algorithms for EO/IR sensor phenomenology including noise characteristics, SNR considerations, resolution limits, and environmental effects
• Build physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate discrimination performance
• Develop analysis tools to characterize discrimination algorithm performance under challenging conditions such as countermeasures, clutter, and degraded sensing environments
• Collaborate with software engineers to transition discrimination algorithms from prototypes to production code optimized for operational deployment
• Engage with customers and stakeholders to understand mission needs, present discrimination solutions, and demonstrate system performance

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 a related technical field
• 5+ years of experience designing, implementing, and testing signal processing algorithms for EO/IR sensors or similar sensing modalities in aerospace or defense systems
• Strong understanding of EO/IR sensor phenomenology including noise characteristics, detection theory, SNR analysis, resolution limits, and environmental effects
• Experience with signal processing techniques including detection algorithms, filtering, and measurement generation from sensor data
• Proficiency in algorithm development and coding with demonstrated experience transitioning algorithms to production environments
• Experience with modeling, simulation, and testing workflows including physics-based modeling, Monte Carlo analysis, or hardware-in-the-loop environments
• Ability to work collaboratively with software engineers, systems engineers, and test teams to integrate algorithms into operational systems

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• Experience with space or missile defense systems, threat discrimination, or intercept systems
• Experience developing advanced decision logic or adaptive algorithms for classification workflows
• Demonstrated experience with pattern recognition, computer vision, or image processing for defense applications
• Experience handling discrimination challenges including countermeasures, spoofing, and contested/degraded sensing environments
• Background in fire control systems, guidance/navigation/control (GNC) integration, or kill vehicle systems
• Experience with radar systems, RF signal processing, or multi-modal sensor fusion
• Demonstrated experience working within systems engineering processes including requirements management, trade studies, and verification/validation
• Experience with MBSE tools (Cameo, Rhapsody, DOORS) or systems engineering toolchains

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 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.

ABOUT THE TEAM

Anduril’s Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. AI Engineers on Anduril’s Frontier AI team build edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy. 

WHAT YOU'LL DO

• Distill and fine-tune transformer architectures so they can be deployed onto edge devices or compute denied environments
• Propose and prototype LLM-based Agentic systems that help solve real world problems, leveraging the latest state-of-the-art techniques in the field
• Develop and maintain mission relevant benchmarks
• Work cross-functionally with different business lines across Anduril to help discover and scope new research problems

REQUIRED QUALIFICATIONS

• BS in Computer Science, Machine Learning, Electrical Engineering, or related field
• 5+ years experience developing and benchmarking ML algorithms
• Experience pushing and maintaining ML algorithms in production
• Strong Python skills with experience in ML frameworks such as PyTorch
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

PREFERRED QUALIFICATIONS

• Experience fine-tuning transformer-based model
• Experience deploying deep-learning based models to edge devices or air gapped environments
• Prior experience in defense tech or start-up

ABOUT THE TEAM

Anduril’s Tactical Recon & Strike (TRS) Division is seeking a Technical Program Manager to join our team. Anduril’s Tactical Recon & Strike (TRS) is a division with two missions: 1) build highly capable autonomous drones, and 2) build solid rocket motors at scale. We transform products like Ghost, Anvil, Bolt, and Altius from early concepts into fully operational capabilities by partnering closely with specialist engineering, operations, and production teams. Through our Anduril Rocket Motor Systems (RMS) team, we design and manufacture solid rocket motors using advanced materials, proprietary formulations, and high-volume production methods—delivering safe, reliable propulsion systems that support a wide range of mission requirements. TRS hires software engineers & hardware engineers, who are excited to build across a diverse and powerful portfolio—from autonomous aerial systems to high-performance solid rocket motors. Our teams contribute to highly capable autonomous robotics systems and propulsion products that operate reliably in the most demanding mission environment. We work in close coordination with specialist teams to solve some of the hardest problems facing our customers.

We are seeking a Technical Program Manager to lead the end-to-end technical delivery of our development programs. In this role, you will own technical planning and cross-functional execution to ensure program success. Working closely with the General Manager, Chief Engineer, Functional Engineering teams (Electrical, Mechanical and Systems Engineering) you will drive the development and integration of Anduril products and technologies while managing cost, deliveries, execution risks and schedule to achieve delivery excellence.

ABOUT THE JOB

Success in this position hinges on three key facets:

1. Systems and engineering mindset - the ability to understand and assess technical concept. Identifying system dependencies, interfaces, technical risks and the impact of key architectural decisions with the engineering team.
2. Execution focused - digging into the details, charting the path and owning the outcome. You will be expected to utilize your technical aptitude in conjunction with your program management, and leadership skills to deliver the best outcome for Anduril and the customer.
3. Collaborative partnership - managing customer relationships and shaping the future of the program with the government.

WHAT YOU'LL DO

• In partnership with the General Manager, Program Managers, Chief Engineers and Engineering teams, you will own the development and deployment of Anduril’s TRS technologies to meet the operational needs of the Department of War.
• Drive the technical execution of development programs from concept through delivery. Ensure all engineering deliverables meet contractual requirements, milestones, and technical standards.
• Serve as a bridge between Program Managers and engineering functional teams.
• Develop strong, trusting relationships with Anduril’s DOW customers, ensuring we have tight feedback loops that enable us to shape solutions, rapidly iterate, and ultimately field solutions faster
• Autonomously execute on broad and/or ambiguous requirements from internal engineering, customers, and third party corporate partners to own successful delivery of outcomes on multiple programs simultaneously
• Responsible for end-to-end execution of the program technical scope and associated deliverables
• Develop and implement lightweight processes, tools, and metrics for program planning, scope management, risk management, and customer communication to enable Anduril to move rapidly
• Own all pieces of work and become a trusted partner and advisor to Anduril’s engineers

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Engineering, Business Administration, or a related field (technical background preferred)
• Minimum of 8 years experience managing the development of complex technical systems throughout the product lifecycle
• Proven track record of successfully managing complex, multi-million-dollar projects and driving their on-time, on-budget completion
• Strong strategic thinking, analytical, and problem-solving abilities with the ability to move seamlessly between tactical and the 30,000 ft level
• Experience coordinating multiple internal and external teams within a complex engineering or technology-focused organization
• Exceptional communication skills, both written and verbal, with the ability to present complex information clearly and concisely to diverse audiences
• Comfortable with 50% travel 

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.

WHAT YOU'LL DO

• Write and maintain core libraries and services that perform critical functions for collaborative teams of robots - for example, motion deconfliction and contingency management of fast mover air vehicles.
• Own major feature development and rollout of large, complex features for our products - recent examples include developing terminal-phase autonomy for various air vehicles and developing a test plan on live surrogates.
• Work closely with Anduril and 3rd party vehicle hardware teams, as well as operational subject matter experts (fighter pilots, UAV operators, etc.) to align on requirements during product development and iterate towards a final design.

REQUIRED QUALIFICATIONS

• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• BS in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field
• 10+ years experience in one or more of the following: motion planning, perception, localization, mapping, controls, and related system performance metrics.
• Proven ability to lead multi-disciplinary teams, set technical direction, and manage full project lifecycles from concept to deployment.
• Deep understanding of integrating various sensor systems and utilizing various techniques for perception and decision-making.
• Experience troubleshooting and analyzing remotely deployed software systems
• Experience working with and testing electrical and mechanical systems

PREFERRED QUALIFICATIONS

• MS or PhD
• Python, Rust, and/or Go experience
• Experience programming for embedded and physical devices
• Multi-agent coordination of UAVs
• Complex frame transformation problems, such as target localization or multi degree of freedom robotic arms

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.

💼What You'll Do

• Support the integration of a cruise missile air vehicle with the Submarine Launcher, System Fire Control, and Nuclear Warhead
• Coordinate and integrate efforts for Air Vehicle integration across multiple Government and Contractor organizations
• Coordinating between the system level design activities within Navy SSP, the Air Vehicle design activities occurring with NAVAIR, and ship integration activities primarily executed by TEAMSUB
• Support multiple, cross-team working groups to ensuring design engineering teams within each of the subsystem design organizations are working to integrate designs, study and trade-off cross sub-system design implications, and coordinate interfaces including the mechanical, electrical, shock, hydrodynamic, temperature and pressure environments the system will traverse
• Drive technical planning, scheduling, and execution of critical design, integration, testing, and verification activities throughout the development and integration processes
• Provide support for multidisciplinary study teams and perform study planning, coordination of modeling and simulation tasks, evaluation of study results, evaluation of contractor detailed designs, data extraction and analysis, and briefing to senior program leadership
• Provide support for the development of system requirements, specifications, and architecture.

🧠What You Bring to the Table

• Bachelor’s degree in engineering, Physical Science, or other STEM field
• 10+ years’ experience in Systems Engineering and design activities
• Experience in Missile design and testing
• Experience applying Model-Based Systems Engineering (MBSE) to system design activities.
• An active DoD or DoE security clearance at the SECRET level (or have held an active clearance within the past 2 years)
• Experience with data analytics (e.g. descriptive statistics, predictive modeling, data visualization), and this can include significant academic projects
• Knowledge/course work of aeronautical engineering, mechanical engineering, control theory, and/or physics
• Experience working with multi-disciplinary teams to coordinate system design activities
• Proven ability to prioritize and execute workload to meet requirements and deadlines and be comfortable working in a fast-paced environment conducting analysis with uncertainties or incomplete data
• Must be capable of breaking down complex issues into simplified problem statements and laying out objective approaches to identify and compare the merits of competing solution.

⭐Bonus Points

• An Active DoD TOP SECRET security clearance.
• A master's degree in a related field
• Experience with Cruise Missile Design.
• Experience with NAVAIR Systems Engineering processes.
• Experience with weapon system acquisition programs.
• Experience working with PyCharm, Git, BitBucket, Jira, and Confluence.

💼What You'll Do

• Provide technical expertise and guidance in design reviews, trade studies, and other technical meetings
• Conduct and review finite element analysis
• Perform structural analyses for both initial design and retrofit/upgrade scenarios
• Review and interpret ABS, ASTM, ISO, and Navy specifications applicable to the design, analysis, and testing of structure, ensuring full contract and regulatory compliance.
• Develop, review, and maintain structural drawings, calculation packages, test plans, and technical reports.
• Coordinate technical interfaces across disciplines (electrical, mechanical) and resolve structural interferences and establish practical design solutions.
• Communicate effectively with team members and stakeholders both verbally and in writing
• Assist in the development of scheduling plans of action and milestones.

🧠What You Bring to the Table

• An active DoD security clearance at the SECRET level or above (or have held an active DoD clearance within the last 2 years)
• Bachelor’s degree in Mechanical Engineering, Structural Engineering, or Naval Architecture & Marine Engineering
• 4+ years of experience as a structural engineer with one or more domains of expertise
• Broad knowledge of analytical structural analysis methods for ship and / or facility structures
• Knowledge of naval vessel structural design specifications, standards, and practices.
• Experience in developing Finite Element Method (FEM) models for load development, part stress and strain evaluation and model analysis.
• Experience in explaining forces and stresses through free body diagrams and simple hand calculations.
• High quality communication and presentation dexterity
• Excellent computer/technology skills

⭐Bonus Points

• Master’s degree in Mechanical Engineering, Structural Engineering, Naval Architecture & Marine Engineering, or Systems Engineering
• Experience with structural designs in the Navy or defense systems, including engineering related to R&D, T&E, and systems acquisition programs for Navy shipbuilding and defense systems.
• General knowledge of submarine requirements in engineering and design of deck structures, foundations, and platform arrangements.
• Experience with the Fleet Ballistic Missile (FBM) program and SSP, including its culture, practices, and key stakeholders
• Professional Engineer (PE) License

💼What You'll Do

• Provide technical expertise and guidance in design reviews, trade studies, and other technical meetings
• Conduct and review finite element analysis
• Perform structural analyses for both initial design and retrofit/upgrade scenarios
• Review and interpret ABS, ASTM, ISO, and Navy specifications applicable to the design, analysis, and testing of structure, ensuring full contract and regulatory compliance.
• Develop, review, and maintain structural drawings, calculation packages, test plans, and technical reports.
• Coordinate technical interfaces across disciplines (electrical, mechanical) and resolve structural interferences and establish practical design solutions.
• Communicate effectively with team members and stakeholders both verbally and in writing
• Assist in the development of scheduling plans of action and milestones.

🧠What You Bring to the Table

• An active DoD security clearance at the SECRET level or above (or have held an active DoD clearance within the last 2 years)
• Bachelor’s degree in Mechanical Engineering, Structural Engineering, or Naval Architecture & Marine Engineering
• 4+ years of experience as a structural engineer with one or more domains of expertise
• Broad knowledge of analytical structural analysis methods for ship and / or facility structures
• Knowledge of naval vessel structural design specifications, standards, and practices.
• Experience in developing Finite Element Method (FEM) models for load development, part stress and strain evaluation and model analysis.
• Experience in explaining forces and stresses through free body diagrams and simple hand calculations.
• High quality communication and presentation dexterity
• Excellent computer/technology skills

⭐Bonus Points

• Master’s degree in Mechanical Engineering, Structural Engineering, Naval Architecture & Marine Engineering, or Systems Engineering
• Experience with structural designs in the Navy or defense systems, including engineering related to R&D, T&E, and systems acquisition programs for Navy shipbuilding and defense systems.
• General knowledge of submarine requirements in engineering and design of deck structures, foundations, and platform arrangements.
• Experience with the Fleet Ballistic Missile (FBM) program and SSP, including its culture, practices, and key stakeholders
• Professional Engineer (PE) License

💼What You'll Do

• Provide technical expertise and guidance in design reviews, trade studies, and other technical meetings
• Conduct and review finite element analysis
• Perform structural analyses for both initial design and retrofit/upgrade scenarios
• Review and interpret ABS, ASTM, ISO, and Navy specifications applicable to the design, analysis, and testing of structure, ensuring full contract and regulatory compliance.
• Develop, review, and maintain structural drawings, calculation packages, test plans, and technical reports.
• Coordinate technical interfaces across disciplines (electrical, mechanical) and resolve structural interferences and establish practical design solutions.
• Communicate effectively with team members and stakeholders both verbally and in writing
• Assist in the development of scheduling plans of action and milestones.

🧠What You Bring to the Table

• An active DoD security clearance at the SECRET level or above (or have held an active DoD clearance within the last 2 years)
• Bachelor’s degree in Mechanical Engineering, Structural Engineering, or Naval Architecture & Marine Engineering
• 4+ years of experience as a structural engineer with one or more domains of expertise
• Broad knowledge of analytical structural analysis methods for ship and / or facility structures
• Knowledge of naval vessel structural design specifications, standards, and practices.
• Experience in developing Finite Element Method (FEM) models for load development, part stress and strain evaluation and model analysis.
• Experience in explaining forces and stresses through free body diagrams and simple hand calculations.
• High quality communication and presentation dexterity
• Excellent computer/technology skills

⭐Bonus Points

• Master’s degree in Mechanical Engineering, Structural Engineering, Naval Architecture & Marine Engineering, or Systems Engineering
• Experience with structural designs in the Navy or defense systems, including engineering related to R&D, T&E, and systems acquisition programs for Navy shipbuilding and defense systems.
• General knowledge of submarine requirements in engineering and design of deck structures, foundations, and platform arrangements.
• Experience with the Fleet Ballistic Missile (FBM) program and SSP, including its culture, practices, and key stakeholders
• Professional Engineer (PE) License

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