The successful candidate will be responsible for defining active EO/IR system architectures, performing radiometric performance modeling, and laboratory, ground, and flight testing. They will also model atmospheric and environmental effects for land, sea, and air targets, and leverage their analyses to inform system-level architectural trades.

Key responsibilities include:

• Defining system architectures via detailed trade studies and analyses
• Adapting or deriving physics-based models of sensor system performance and deriving requirements based on those models
• Taking ownership over the development of prototype sensor systems in a lab environment
• Supporting both laboratory-based and field-based experiments and demonstrations
• Engaging technically with the hardware, software, and mission teams to define, integrate, and deliver high-performance systems to our customers
• Validating models against laboratory and real-world data
• Coordinating and communicating with both external & internal stakeholders with varying degrees of technical background

Required qualifications include:

• Model development and validation in one or more domains relevant to remote sensing
• Ability to decompose complex systems into functional parts, with clearly defined interfaces and requirements for each
• Experience in system design and development from initial concept through test and delivery to customer
• Strong laboratory skills (rapid prototyping, design of experiments) and familiarity with opto-electrical test and measurement equipment
• Willingness to travel to test sites, as needed
• Must be able to obtain and hold a U.S. security clearance

Preferred qualifications include:

• Knowledge of current and next-generation advanced sensing systems and platforms
• Active and passive sensing domain experience (e.g., LiDAR, EO/IR, Radar)
• Experience with laser systems, including opto-mechanical scanning and beam steering techniques
• Knowledge of electro-mechanical control systems, including their performance requirements and verification methodologies
• Experience with LiDAR/Radar signal processing techniques, and knowledge of their implementation on real-time embedded platforms (FPGA, MCU, etc.)
• Experience with signature and/or scenario modeling/software packages (MODTRAN, SPIRITS, AFSIM)

Salary: $166,000 - $220,000 USD per year, plus highly competitive equity grants and top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans, income protection, generous time off, family planning and parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and a retirement savings plan.

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Key responsibilities include:

• Collaborating with a multidisciplinary team of software and hardware engineers to develop software defined radios;
• Implementing high-performance, real-time signal processing chains on embedded and hardware platforms to support mission-critical sensing capabilities;
• Developing Modeling and Simulation (M&S) code for RADAR techniques and data analysis including Hardware-in-the Loop / Software-in-the-loop (HIL/SIL) testing;
• Participating in laboratory and field testing of RF systems and techniques;
• Participating in the maturation of RF systems into deployable systems and products.

Required qualifications include:

• 5+ years of experience with a BSEE or related field;
• Strong foundation in digital signal processing, comms theory, and system engineering with emphasis in direction finding algorithm implementation;
• Hands-on experience with direction finding, angle-of-arrival estimation, and multi-antenna signal processing;
• Strong experience with DSP implementation for embedded devices including FPGA, Nvidia Jetson, and Software Defined Radios and/or software defined radios;
• Strong knowledge of Python and MATLAB;
• Experience with CUDA or GPU accelerated frameworks like cuSignal is preferred;
• Familiar with deep learning algorithms;
• Familiar with wireless communication standards (Bluetooth, 3G/4G/5G, Wi-Fi, SINCGARS, MUOS, etc.).

Preferred qualifications include:

• Masters or PhD degree in Electrical, Electronics, Computer Engineering, or related fields;
• Experience with ML frameworks such as TensorFlow and PyTorch;
• Defense, national security, or aerospace domain familiarity through industry or education;
• Extensive Digital Signal Processing (DSP) knowledge and experience;
• Expertise in Synthetic Aperture Radar (SAR) and/or Inverse SAR (ISAR): Image formation, waveforms, phenomenology, modeling and simulation.

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As a Robotics Engineer, you will be responsible for implementing trusted safe navigation, collision avoidance, and situational awareness systems that balance constraints, restrictions, and requirements in a multi-stakeholder environment. You will also implement scalable sub-systems including sensor processing, perception, tracking, motion planning, health management, anomaly detection, simulation, testing fixtures, and vehicle interfaces.

In addition, you will contribute to the development of existing software components across Anduril, with the aim of developing components that are reusable across multiple Anduril product lines. You will utilize advanced techniques in computer vision, sensor fusion, and machine learning to enhance perception and planning capabilities of Anduril vehicles.

You will conduct thorough testing and validation of perception and planning algorithms through development and use of simulation and analysis of data from real-world experiments, including evolving the data analysis tooling. You will also collaborate with cross-functional teams, including software engineers, mechanical engineers, and systems engineers, to ensure effective system integration and testing.

This role requires a strong background in robotics, mechatronics, computer science, or engineering, with experience in C++ and/or Python software development. You should have familiarity with autonomous vehicle hardware and sensors such as radar, sonar, LIDAR, and cameras. Demonstrated knowledge of at least one of computer vision, sensor fusion, SLAM, motion planning, or machine learning is required.

Experience in a senior perception or planning role for the delivery of a robotic system is preferred. You should have the capacity to act as the technical owner for a system, including stakeholder engagement, requirements definition, roadmap management, team coordination, design, implementation, sustainment, and evolution. Ability to collaborate with stakeholders to define and implement robust validation and verification strategies for perception and planning modules is also required.

Eligibility to obtain and maintain an active U.S. Secret security clearance is necessary for this role.

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Key responsibilities include:

• Developing and maintaining a detailed project and execution plan, including feature development, testing and validation, deployment, and monitoring.
• Establishing clear objectives and deliverables for the software that align with program needs.
• Maintaining a deep understanding of underlying algorithms and software interfaces for radar processing, target tracking, detection, classification, and sensor fusion to ensure that the relevant services integrate effectively with the larger system.
• Staying updated on the latest techniques to work with subject matter experts in incorporating relevant innovations into the project plan.
• Ensuring comprehensive documentation is maintained for the project, including technical specifications, user manuals, and project reports.
• Overseeing the planning and execution of the software release process, ensuring that deployment is carried out smoothly and efficiently.
• Serving as the primary point of contact for all project-related communications, internally across teams and externally with stakeholders.

The ideal candidate will have 5+ years of experience and a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field. They will also have extensive project management experience, preferably in software development for radar systems or advanced signal processing algorithms.

Salary: $111,000-$147,000 USD per year.

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This position requires a blend of systems engineering expertise, hands-on technical proficiency, and a deep understanding of complex test environments. You will be responsible for defining the architectural roadmap, integrating cutting-edge sensors, data acquisition systems, and telemetry solutions, and ensuring the robust operation of our mission-critical test assets.

Responsibilities

• Architectural Design & Development:
• Lead the architectural design, development, and evolution of comprehensive instrumentation systems and associated range infrastructure for complex test and evaluation systems.
• Define system requirements, specifications, and interface control documents (ICDs) for new and upgraded range capabilities.
• Develop long-term architectural roadmaps, technology insertion plans, and strategic upgrades to maintain state-of-the-art range capabilities.
• Instrumentation Systems Engineering:
• Select, integrate, and validate various instrumentation technologies including, but not limited to: telemetry (RF/Optical), radar, optics (high-speed cameras, IR, EO), GPS/PNT, environmental sensors, and acoustic arrays.
• Design and implement robust data acquisition (DAQ), processing, storage, and analysis pipelines to support real-time and post-test data needs.
• Develop and manage calibration procedures and ensure accuracy and traceability of all instrumentation.
• Range Infrastructure Development:
• Design and oversee the implementation of critical range infrastructure components, such as fiber optic networks, RF distribution systems, power distribution, communication systems, timing and synchronization, and environmental controls for instrumentation shelters.
• Perform RF Survey analysis to ensure noise floor is within desired tolerance ranges for various test sites and environments.
• Ensure network connectivity, cybersecurity, and data security for all instrumentation systems across the range.
• Coordinate with facility engineers and construction teams for physical infrastructure modifications and deployments.
• Test & Operations Support:
• Collaborate closely with test directors, mission planners, range operators, and data analysts to understand requirements and provide technical solutions.
• Provide expert support during testing, anomaly resolution, and post-test data analysis.
• Ensure compliance with all relevant range safety, security, environmental, and regulatory requirements.
• Technical Leadership & Mentorship:
• Provide technical leadership, guidance, and mentorship to junior engineers and cross-functional teams.
• Conduct trade studies, feasibility analyses, and risk assessments for proposed architectural changes and technology investments.
• Prepare detailed technical reports, presentations, and documentation for internal stakeholders and external customers.

Required Qualifications

• Bachelor's degree in Electrical Engineering, Aerospace Engineering, Systems Engineering, Computer Science, or a related technical field.
• 15+ years of progressive experience in instrumentation systems architecture, leadership, or complex range infrastructure development, preferably within the defence or aerospace industry.
• Demonstrated experience in systems architecture development for complex real-time systems.
• Strong understanding of data acquisition (DAQ) principles, telemetry systems (e.g., IRIG 106), RF systems, and various sensor technologies.
• Proficiency with system modeling tools (e.g., SysML, MATLAB/Simulink), CAD software, and/or programming languages (e.g., Python, C++).
• Extensive experience in the design, development, integration, operation, and maintenance of test range infrastructure and instrumentation supporting high-speed weapons systems and Unmanned Aerial Vehicles (UAVs)/drones.
• Experience with network design, distributed systems, and real-time data processing.
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.
• Ability to work independently, manage multiple priorities, and lead technical efforts within a team environment.
• Ability to travel as required to multiple test locations CONUS and OCONUS.
• Must be able to obtain and maintain a U.S. Security Clearance (Secret or Top Secret preferred).

Preferred Qualifications

• Master's or Ph.D. in a relevant engineering discipline.
• Experience with specific missile test range instrumentation, such as high-speed video systems, precision timing systems, advanced radar tracking, or target scoring systems.
• Knowledge of cybersecurity best practices and implementation for critical infrastructure and classified systems.
• Familiarity with industry standards (e.g., IRIG, MIL-STD-1553, ARINC 429).
• Project management experience (PMP certification a plus).
• Hands-on experience with hardware design, prototyping, and testing.

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The ideal candidate will have 7+ years of experience with a BSEE or related field, strong experience with DSP implementation for embedded devices and/or software defined radios, strong knowledge of Python and MATLAB, experience with CUDA or GPU accelerated frameworks like cuSignal, experience with embedded devices, including FPGA, Nvidia Jetson, and Software Defined Radios, skilled with Modeling and Simulation of RF systems including Radar and SAR, familiar with deep learning algorithms, experience with ML frameworks such as TensorFlow and PyTorch, familiar with wireless communication standards (Bluetooth, 3G/4G/5G, Wi-Fi, SINCGARS, MUOS, etc.), excellent at balancing multiple projects at any given time and/or managing a larger team for a larger program, enthusiastic about both working with a team and executing some work individually (depending on program scope), experience with Electronic Warfare systems, and currently possesses and is able to maintain an active U.S. Secret security clearance.

Preferred qualifications include a Master's or PhD degree in Electrical, Electronics, Computer Engineering, or related fields, defense, national security, or aerospace domain familiarity through industry or education, extensive Digital Signal Processing (DSP) knowledge and experience, expertise in Synthetic Aperture Radar (SAR) and/or Inverse SAR (ISAR): Image formation, waveforms, phenomenology, modeling and simulation.

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Key responsibilities include:

• Serving as a project manager/on-site lead working directly with US military, DHS, and allied customers to deliver Anduril's radar and integrated sensor capabilities across multiple locations
• Leading a small team of engineers through site standups from initial radar integration through operational acceptance while interfacing with strategic end-users throughout the process
• Monitoring radar system performance, connectivity, integration with mesh networks, and fusion with other sensors (EO/IR, RF) and C2 systems at distributed sites and with partner organisations
• Gathering, triaging, and prioritising user feedback on radar detection performance, tracking accuracy, classification capabilities, issues, and errors found during fielding, testing, exercises, and normal use within operational schedules
• Providing input to account and engineering teams on radar features, detection algorithms, and UI/UX improvements that enhance or greatly improve efficiency of operator workflows
• Supporting engagement with other units, commands, and organisations for increased deployment and installation of our radar systems across military installations, critical infrastructure sites, and forward operating locations

Requirements include:

• 5+ years of experience and a Bachelor's degree in electrical engineering, electronics engineering, computer engineering or related field
• Willingness to travel 50% - 75%
• Eligibility to obtain and maintain an active US Secret security clearance

Preferred qualifications include familiarity and experience working with materiel leadership or mission partners within Army Air & Missile Defense, USMC Ground Based Air Defence, SOCOM, DHS CBP, or allied defence organisations and working knowledge of the counter-UAS and air surveillance competitive landscape.

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The ideal candidate will have 3+ years of experience with LO aircraft, proficient knowledge of LO design, analysis, and validation methodologies, experience with RCS analysis tools such as X-Patch, SENTRi, McMoM2D, FEKO, HFSS, CST or other company specific Computational ElectroMagnetics (CEM) analysis packages, familiarity with how to model and design with LO materials, experience with LO airframe design, LO coating integration, and subsystem integrations, experience with CAD software packages such as NX, CATIA, experience with various manufacturing methods such as composites, 3D printing, casting, injection molding, etc.), experience with Indoor and/or outdoor RCS testing of LO component and/or air vehicles, and a BS or higher degree in a STEM discipline.

US Salary Range $129,000-$171,000 USD

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If you are someone who enjoys building and delivering compelling next-generation autonomous capabilities and supporting actual vehicle integration, then this role is for you.

Responsibilities:

• Test RF systems (power measurements, pulse response/synchronization, network analysis, environmental & stress testing, etc.)
• Lead air vehicle integration and checkout efforts (EMI/interference testing, installed performance testing, data analysis)
• Validate system performance in close cooperation with design & system engineers
• Work closely with AD&S teams to successfully integrate & deliver high-performance systems to our customers
• Communicate results in multiple forms internally and externally

Requirements:

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Communications, sensors, and effector domain expertise in RF based systems (e.g. Radar, ESM, EW, etc.)
• Proven, hands-on experience with RF test equipment and measurement techniques
• 2+ years in RF system integration and validation, the more the better
• 5+ years in relevant Science and/or Engineering related field

Preferred Qualifications:

• Hands-on experience with both analog and digital systems integration.
• Ability to develop SW to enable closed-loop or automated testing of systems under test
• Experience with simulation and modeling tools (e.g., ADS, Ansys HFSS, COMSOL, MATLAB, etc.)
• Advanced sensing domain experience (e.g., EO/IR, ESM, EA, EW, LIDAR)
• Experience with air vehicle design, integration, test, & fielding

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold.

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. Anduril is developing and deploying an integrated system to make UxVs highly effective through the entire mission lifecycle. From fleet management, to mission planning, live execution, and integrations into other DOD systems, Lattice is enabling the military to fight at scale with robots across all domains.

Your Job is to design, implement, and evolve the means by which Agents interact with classical software systems. You will contribute to test and eval infrastructure, deployment software, agent tool calling, prompt engineering, and other agent techniques in order to achieve best-in-class performance with frontier and edge deployed models. You will increase the performance and quality of agentic interaction patterns, and you will expand the surface area by which Agents can interact with the overall Lattice system.

Required Qualifications:

• Demonstrated deep knowledge of the implementation and use of LLM’s
• Experience integrating agents into classical systems
• Strong programming skills in Python or other core languages (Java, Go etc)
• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience.

Preferred Qualifications:

• Experience with simulation or real-world validation for autonomous vehicles is highly desirable
• 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.
• 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.
• Familiarity with C/C++ is a plus.
• General software engineering experience solving motion planning or related robotics problems.

US Salary Range $191,000-$253,000 USD

The salary range for this role is an estimate based on a wide 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. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package.

Additional Benefits:

• Healthcare Benefits - US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.
• UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.
• IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.
• Income Protection: Anduril covers life and disability insurance for all employees.
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December.
• Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching.
• Additional work-life services, such as legal and financial support, are also available.
• Professional Development: Annual reimbursement for professional development.
• Commuter Benefits: Company-funded commuter benefits based on your region.
• Relocation Assistance: Available depending on role eligibility.
• Retirement Savings Plan - US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.
• UK & IE Roles: Pension plan with employer match.
• AUS Roles: Superannuation plan.

Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
• Please always verify communications:
• Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.
• Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency.
• Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage.
• Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
• What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com.

Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice.

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Key Responsibilities:

• Develop guidance algorithms (terminal and midcourse) and state estimators for group 1-3 UAV platforms
• Work closely with the flight software and computer vision team to define requirements, develop GNC software and validate functionality in simulation on aggressive timelines
• Review test data captured from the flight control system, subsystems, and other test instrumentation to verify vehicle performance, evaluate GNC algorithm/controller behaviour, or debug incidents during testing or from fielded assets

Requirements:

• Bachelor's degree in Robotics, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or a related field with a focus on dynamic systems and control
• 3+ years professional experience in a GNC role, preferably focusing on missile or weapons systems
• Experience with tactical guidance algorithms and target state estimation development
• Experience with state estimation and filtering
• Kalman filtering, sensor fusion, complementary filters, etc.
• Experience in modelling and simulation of linear and nonlinear dynamic systems and model linearisation
• Experience coding in Matlab and Simulink
• C/C++ Proficiency
• Eligible to obtain and maintain an active U.S. Secret security clearance

Preferred Qualifications:

• Master's Degree or PhD in Robotics, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or a related field with a focus on dynamic systems and control
• 5+ years professional experience in a GNC role, preferably focusing on missile or weapons systems
• Experience with flight test and debugging GNC on UAV platforms
• Experience with GNC design and analysis for fixed wing, rotary wing aircraft and/or tactical missile systems
• Experience with seeker integration
• Experience in one or more of the following: VIO, TERCOM, gimbal mount models, detection and tracking, LWIR/EO sensors, RADAR, target motion models
• Experience with Simulink Embedded Coder

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The ideal candidate will have a strong background in computer science, robotics, machine learning, or a related field, and experience integrating agents into classical systems. They will also have a proven track record of novel application 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.

In addition to your technical expertise, you will be a strong communicator and collaborator, able to work effectively with cross-functional teams to drive results. You will also be comfortable working in a fast-paced environment and adapting to changing priorities.

If you are a motivated and experienced engineer looking to join a dynamic team and contribute to cutting-edge technology, we encourage you to apply.

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This role is ideal for an experienced engineer with deep expertise in radar cross-section (RCS) shaping, LO materials, and electromagnetic signature modeling who thrives in a fast-paced, mission-driven environment. You'll work across disciplines to ensure our aircraft can survive, evade, and complete missions in highly contested airspace.

Responsibilities:

• Design and optimize low observable (LO) features across the airframe focusing on shaping, edge treatments, radar-absorbing materials, and subsystem integration.
• Conduct modeling and simulation of electromagnetic signatures using industry-standard tools such as HFSS, CST Studio Suite, Xpatch, and SENTRi.
• Work with multidisciplinary teams in propulsion, avionics, structures, and AI to ensure survivability is baked into the system architecture from day one.
• Lead or support signature testing efforts, including indoor and outdoor RCS range tests, validation campaigns, and supplier-level hardware evaluations.
• Translate mission threats and requirements into survivability features that address RCS, thermal, visual, and acoustic observability constraints.
• Partner with materials scientists to mature radar-absorbing coatings and structural RAM for manufacturability and field durability.
• Support internal and customer assessments, threat modeling reviews, and milestone decisions throughout the program lifecycle.

Requirements:

• B.S. or M.S. in Aerospace Engineering, Electrical Engineering, Physics, or a related discipline.
• 7+ years of hands-on experience in LO or survivability engineering, preferably on tactical aircraft, UAVs, or stealth systems.
• Proficiency with EM simulation tools such as HFSS, CST, Xpatch, or SENTRi.
• Strong understanding of RCS shaping principles, edge treatments, cavity suppression, and materials integration.
• Practical experience with LO testing methods and RCS measurement equipment.
• Familiarity with radar-absorbing materials (RAM), LO coatings, and structural LO trade studies.
• Solid collaboration and communication skills with the ability to work across design, test, and manufacturing teams.
• U.S. Citizenship and active Secret clearance required (TS/SCI preferred).

Preferred Qualifications:

• Experience with military UAV platforms or 5th-gen fighter programs.
• Background in survivability analysis in contested environments (e.g., IADS, radar networks).
• Familiarity with platform CONOPS, threat modeling, and mission-level survivability assessments.
• Ability to contribute to the design, test, and fielding of a fully integrated LO platform.

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As a Modeling & Simulation Engineer, you will be responsible for improving and adding to our sensor and communications model suite so that our operator training and internal engineering pipelines have a seamless translation from sim to real results.

Responsibilities

• Develop and enhance radar sensor models for use in simulation and evaluation of aeronautical vehicles.
• Translate theoretical models into efficient, reliable C++ implementations with a focus on numerical accuracy and performance.
• Validate models against real-world data and authoritative references, including field test data and calibration procedures.
• Collaborate with simulation and training application teams to ensure models integrate cleanly into operator-facing tools.
• Design automated validation and regression testing strategies for mathematical models to ensure fidelity across releases.
• Prototype and evaluate new modeling techniques (reduced-order models, uncertainty quantification, machine learning–based surrogates) to push the state of the art.
• Document assumptions, equations, and validation results so that both engineers and operators can trust model outputs.

Requirements

• BS or higher in Aerospace Engineering, Applied Math, Physics, or related field with 5+ years of aerospace modeling experience.
• C++ foundation with experience implementing numerical methods.
• Demonstrated experience with aerospace models such as: Radar sensors, Radio communications systems
• Experience validating simulations against real-world or experimental data.
• Ability to write clear documentation explaining assumptions, limitations, and expected behaviors of models.

Preferences

• 1+ years of experience working on pilot/operator training systems.
• Experience with Eigen or SciPy for model prototyping and validation.
• Familiarity with state estimation sensor models (GPS, IMU, Gyro, etc) for simulation environments.
• Demonstrated experience with payload sensor models including: Laser sensors, IR and optical cameras
• Knowledge of uncertainty quantification and statistical analysis methods.
• Experience with parallelization or GPU acceleration for compute-heavy models.
• Strong problem-solving mindset with a collaborative and detail-oriented approach.
• Familiarity with Python for test automation and data analysis pipelines.
• Passion for aerospace and autonomous vehicle systems.

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A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions.

Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.

Responsibilities:

• Lead teams across autonomy, integration, and testing by aligning technical efforts, resolving cross-functional challenges, and driving mission-focused execution.
• Develop advanced perception algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.
• Implement sensor fusion frameworks by integrating data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques.
• Develop state estimation capabilities by designing and refining algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs.
• Analyze and utilize sensor ICDs to ensure correct data handling, interpretation, and synchronization.
• Optimize perception performance by tuning and evaluating perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments.
• Support autonomy integration by working closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules.
• Validate in simulated and operational settings by leveraging synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness.
• Collaborate with hardware and sensor teams to ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads.
• Drive innovation in airborne sensing by contributing novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.
• Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).

Requirements:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.
• Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience.
• 7+ years of experience in Unmanned Systems programs in the DoD or applied R&D.
• 2+ years of people leadership experience.
• Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models.
• Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches.
• Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications.
• Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs.
• Proficiency with version control, debugging, and test-driven development in cross-functional teams.
• Ability to obtain a SECRET clearance.

Preferences:

• Hands-on integration or algorithm development with airborne sensing systems.
• Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks.
• Experience deploying perception software on SWaP-constrained platforms.
• Familiarity with validating perception systems during flight test events or operational environments.
• Understanding of sensing challenges in denied or degraded conditions.
• Exposure to perception applications across air, maritime, and ground platforms.

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A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions.

Develop advanced perception algorithms , Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities. Implement sensor fusion frameworks , Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness. Develop state estimation capabilities , Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation. Analyze and utilize sensor ICDs , Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization. Optimize perception performance , Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments. Support autonomy integration , Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules. Validate in simulated and operational settings , Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness. Collaborate with hardware and sensor teams , Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads. Drive innovation in airborne sensing , Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.

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This role is ideal for an experienced engineer with expertise in radar cross-section (RCS) shaping, LO materials, and electromagnetic signature modeling who thrives in a fast-paced, mission-driven environment. You'll work across disciplines to ensure our aircraft can survive, evade, and complete missions in highly contested airspace.

Responsibilities:

• Design and optimize low observable (LO) features across the airframe focusing on shaping, edge treatments, radar-absorbing materials, and subsystem integration.
• Conduct modeling and simulation of electromagnetic signatures using industry-standard tools such as HFSS, CST Studio Suite, Xpatch, and SENTRi.
• Work with multidisciplinary teams in propulsion, avionics, structures, and AI to ensure survivability is baked into the system architecture from day one.
• Lead or support signature testing efforts, including indoor and outdoor RCS range tests, validation campaigns, and supplier-level hardware evaluations.
• Translate mission threats and requirements into survivability features that address RCS, thermal, visual, and acoustic observability constraints.
• Partner with materials scientists to mature radar-absorbing coatings and structural RAM for manufacturability and field durability.
• Support internal and customer assessments, threat modeling reviews, and milestone decisions throughout the program lifecycle.

Requirements:

• B.S. or M.S. in Aerospace Engineering, Electrical Engineering, Physics, or a related discipline.
• 10+ years of hands-on experience in LO or survivability engineering, preferably on tactical aircraft, UAVs, or stealth systems.
• Proficiency with EM simulation tools such as HFSS, CST, Xpatch, or SENTRi.
• Strong understanding of RCS shaping principles, edge treatments, cavity suppression, and materials integration.
• Practical experience with LO testing methods and RCS measurement equipment.
• Familiarity with radar-absorbing materials (RAM), LO coatings, and structural LO trade studies.
• Solid collaboration and communication skills with the ability to work across design, test, and manufacturing teams.
• U.S. Citizenship and active Secret clearance required.

Preferred Qualifications:

• Experience with military UAV platforms or 5th-gen fighter programs.
• Background in survivability analysis in contested environments (e.g., IADS, radar networks).
• Familiarity with platform CONOPS, threat modeling, and mission-level survivability assessments.
• Ability to contribute to the design, test, and fielding of a fully integrated LO platform.
• Active Top Secret or SCI clearance.

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A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems, and the ability to deliver performant software in simulation and real-world conditions.

Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. Our Perception Engineers are instrumental in creating the situational awareness that underpins autonomy, ensuring our systems understand and respond to the operational environment with speed, precision, and resilience.

Responsibilities:

• Develop advanced perception algorithms , Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities.
• Implement sensor fusion frameworks , Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness.
• Develop state estimation capabilities , Design and refine algorithms for localization and pose estimation using IMU, GPS, vision, and other onboard sensing inputs to enable stable and accurate navigation.
• Analyze and utilize sensor ICDs , Interpret interface control documents (ICDs) and technical specifications for aircraft-mounted sensors to ensure correct data handling, interpretation, and synchronization.
• Optimize perception performance , Tune and evaluate perception pipelines for performance, robustness, and real-time efficiency in both simulation and real-world environments.
• Support autonomy integration , Work closely with autonomy, systems, and integration teams to interface perception outputs with planning, behaviors, and decision-making modules.
• Validate in simulated and operational settings , Leverage synthetic data, simulation environments, and field testing to validate algorithm accuracy and mission readiness.
• Collaborate with hardware and sensor teams , Ensure seamless integration of perception algorithms with onboard compute platforms and diverse sensor payloads.
• Drive innovation in airborne sensing , Contribute novel ideas and state-of-the-art techniques to advance real-time perception capabilities for unmanned aircraft operating in complex, GPS-denied, or contested environments.
• Travel Requirement , Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).

Required Qualifications:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
• Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience
• Background in implementing algorithms such as Kalman Filters, multi-target tracking, or deep learning-based detection models
• Familiarity with fusing data from radar, EO/IR cameras, or other sensors using probabilistic or rule-based approaches
• Familiarity with SLAM, visual-inertial odometry, or sensor-fused localization approaches in real-time applications
• Ability to interpret and work with Interface Control Documents (ICDs) and hardware integration specs
• Proficiency with version control, debugging, and test-driven development in cross-functional teams
• Ability to obtain a SECRET clearance

Preferred Qualifications:

• Hands-on integration or algorithm development with airborne sensing systems
• Experience with ML frameworks such as PyTorch or Tensorflow, particularly for vision-based object detection or classification tasks
• Experience deploying perception software on SWaP-constrained platforms
• Familiarity with validating perception systems during flight test events or operational environments
• Understanding of sensing challenges in denied or degraded conditions
• Exposure to perception applications across air, maritime, and ground platforms

$182,720 - $274,080 a year

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This role is ideal for an experienced engineer with expertise in radar cross-section (RCS) shaping, LO materials, and electromagnetic signature modeling who thrives in a fast-paced, mission-driven environment. You'll work across disciplines to ensure our aircraft can survive, evade, and complete missions in highly contested airspace.

Responsibilities:

• Design and optimize low observable (LO) features across the airframe focusing on shaping, edge treatments, radar-absorbing materials, and subsystem integration.
• Conduct modeling and simulation of electromagnetic signatures using industry-standard tools such as HFSS, CST Studio Suite, Xpatch, and SENTRi.
• Work with multidisciplinary teams in propulsion, avionics, structures, and AI to ensure survivability is baked into the system architecture from day one.
• Lead or support signature testing efforts, including indoor and outdoor RCS range tests, validation campaigns, and supplier-level hardware evaluations.
• Translate mission threats and requirements into survivability features that address RCS, thermal, visual, and acoustic observability constraints.
• Partner with materials scientists to mature radar-absorbing coatings and structural RAM for manufacturability and field durability.
• Support internal and customer assessments, threat modeling reviews, and milestone decisions throughout the program lifecycle.

Required qualifications:

• B.S. or M.S. in Aerospace Engineering, Electrical Engineering, Physics, or a related discipline.
• 10+ years of hands-on experience in LO or survivability engineering, preferably on tactical aircraft, UAVs, or stealth systems.
• Proficiency with EM simulation tools such as HFSS, CST, Xpatch, or SENTRi.
• Strong understanding of RCS shaping principles, edge treatments, cavity suppression, and materials integration.
• Practical experience with LO testing methods and RCS measurement equipment.
• Familiarity with radar-absorbing materials (RAM), LO coatings, and structural LO trade studies.
• Solid collaboration and communication skills with the ability to work across design, test, and manufacturing teams.
• U.S. Citizenship and active Secret clearance required.

Preferred qualifications:

• Experience with military UAV platforms or 5th-gen fighter programs.
• Background in survivability analysis in contested environments (e.g., IADS, radar networks).
• Familiarity with platform CONOPS, threat modeling, and mission-level survivability assessments.
• Ability to contribute to the design, test, and fielding of a fully integrated LO platform.
• Active Top Secret or SCI clearance.

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The ideal candidate has extensive experience in RF system design, testing, and benchmarking, with a strong foundation in wireless communications, spectrum management, and signal propagation in marine environments. This is a technically demanding, research-focused position with opportunities to influence system architecture and future platform capabilities.

Key Responsibilities:

• Lead R&D efforts in RF communications, radar, and electronic sensing technologies for autonomous surface vessels.
• Evaluate and benchmark RF hardware and subsystems, including radios, antennas, and signal processing modules across multiple frequency bands (VHF/UHF, L/S/C/X bands).
• Conduct trade studies and comparative analyses of commercial and military-grade RF solutions to inform system selection and integration strategies.
• Design, prototype, and test RF systems and supporting electrical architectures, including cabling, shielding, and power interfaces.
• Model and analyze RF propagation and link performance in maritime and littoral environments.
• Collaborate cross-functionally with autonomy, software, and mechanical teams to ensure seamless integration of communication and sensing systems.
• Develop test procedures, perform validation trials, and analyze system performance under operational and environmental conditions.
• Author detailed R&D documentation, including technical reports, design specifications, and performance evaluations.
• Mentor junior engineers and contribute to Saronic’s RF technology roadmap and internal knowledge base.
• Support field testing and vessel trials, including setup and troubleshooting of communication and radar systems.

Required Qualifications:

• B.S. or M.S. in Electrical Engineering, RF Engineering, or related discipline.
• 7+ years of professional experience in RF system design, testing, and integration -preferably in maritime, automotive, aerospace, or defense applications.
• Deep understanding of RF theory, antenna design, and signal propagation, including real-world marine effects (multipath, reflection, attenuation).
• Hands-on experience with RF instrumentation (spectrum analyzers, network analyzers, signal generators, power meters, etc.).
• Proven ability to conduct trade studies and technology benchmarking for RF components and systems.
• Familiarity with communications protocols such as Ethernet, CAN, and serial interfaces, and with wireless standards (LTE, SATCOM, mesh networking).
• Strong documentation and communication skills; able to translate test results into actionable design insights.
• Ability to work effectively in both lab and field test environments (dockside, at-sea, and range conditions).

Physical Requirements:

• Prolonged periods of sitting at a desk and working on a computer.
• Occasional standing and walking within the office.
• Manual dexterity to operate a computer keyboard, mouse, and other office equipment.
• Visual acuity to read screens, documents, and reports.
• Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies.
• Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages).

Benefits:

• Medical Insurance: Comprehensive health insurance plans covering a range of services
• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care
• Saronic pays 100% of the premium for employees and 80% for dependents
• Time Off: Generous PTO and Holidays
• Parental Leave: Paid maternity and paternity leave to support new parents
• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses
• Retirement Plan: 401(k) plan
• Stock Options: Equity options to give employees a stake in the company’s success
• Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage
• Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

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You will be deeply engaged in debugging and optimizing autonomy algorithms, refining system performance based on real-world data, and working closely with end-users to adapt our technology to mission needs.

The ideal candidate will have 5+ years of experience developing autonomy or robotics systems, with a strong foundation in software engineering, and proficiency in programming skills in C++, Rust, Python, or similar languages.

Responsibilities:

• Lead the design, development, and optimization of advanced software systems for autonomy, networking, and mission execution, with a focus on robust performance in dynamic maritime environments
• Drive field testing and deployment strategies, overseeing validation of autonomy, perception, and control systems under operational conditions, and proactively identifying systemic issues
• Own the analysis of mission-critical performance data, translating operational insights into high-impact software improvements that enhance system behavior, reliability, and responsiveness
• Architect and integrate new autonomy capabilities, ensuring compatibility across software, sensors, and vessel hardware, while maintaining a modular and scalable system design
• Partner directly with operators, mission planners, and end-users, translating feedback into actionable requirements and guiding the evolution of the autonomy stack to meet mission needs
• Lead incident response and root cause analysis for complex issues spanning software, hardware, and networking layers, and implement durable solutions that strengthen system resilience
• Mentor and collaborate with cross-functional teams, aligning autonomy development with broader product and mission goals, and elevating engineering practices across the organization
• Establish and maintain technical standards, authoring deployment protocols, diagnostic tools, and documentation to support the reliable scaling of autonomy systems in operational fleets

Qualifications:

• 5+ years of experience developing autonomy or robotics systems, with a strong foundation in software engineering
• Proficient programming skills in C++, Rust, Python, or similar languages, with experience building and maintaining performance-critical systems
• Deep technical background in robotics, autonomy, or embedded systems, particularly within maritime, aerospace, or defense sectors
• Strong understanding of networking protocols and distributed systems, including TCP/IP, UDP, DDS, and message-passing frameworks (e.g., ROS, ZeroMQ)
• Extensive hands-on experience with perception sensors such as cameras, radar, GPS, and IMUs, with emphasis on integration and real-time sensor fusion
• Proven ability to debug and resolve complex, cross-disciplinary issues, spanning software, hardware, networking, and autonomy behavior
• Experience adapting autonomy systems to real-world constraints, including variable environments, limited communications, and platform-specific limitations
• Willingness and capability to lead field deployments (up to 50%), with a history of testing and refining autonomous systems in operational maritime or expeditionary contexts
• Expertise in motion planning, control systems, and behavior architectures, including behavior trees and adaptive navigation algorithms
• Domain knowledge in maritime systems, naval operations, or defense technology, with an understanding of mission-critical operational needs
• Familiarity with distributed autonomy and multi-agent coordination, including decentralized planning and task-sharing in communication-limited settings
• Leadership in system integration, testing, and operationalization, collaborating across engineering, product, and field teams to deliver robust, deployable systems

Benefits:

• Medical Insurance: Comprehensive health insurance plans covering a range of services
• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care
• Saronic pays 100% of the premium for employees and 80% for dependents
• Time Off: Generous PTO and Holidays
• Parental Leave: Paid maternity and paternity leave to support new parents
• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses
• Retirement Plan: 401(k) plan
• Stock Options: Equity options to give employees a stake in the company’s success
• Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage
• Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

Physical Demands:

• Prolonged periods of sitting at a desk and working on a computer
• Occasional standing and walking within the office
• Manual dexterity to operate a computer keyboard, mouse, and other office equipment
• Visual acuity to read screens, documents, and reports
• Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies
• Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages)

Additional Information:

This role requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3)

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You will work hands-on with software, networking, and autonomy, ensuring our autonomous service vessels perform reliably in operational settings. This role blends software development, field deployment, and problem-solving to ensure our technology delivers real mission impact.

You will be deeply engaged in debugging and optimizing autonomy algorithms, refining system performance based on real-world data, and working closely with end-users to adapt our technology to mission needs. Whether troubleshooting networking issues, improving sensor integration, or refining control logic, you will play a critical role in making our systems more capable and reliable.

You will be the link between groundbreaking autonomy technology and real-world success. You will work on the front lines of maritime autonomy, ensuring our systems operate effectively in the environments where they matter most. You will impact mission success and shape the future of autonomous maritime operations.

Responsibilities:

• Lead the design, development, and optimization of advanced software systems for autonomy, networking, and mission execution, with a focus on robust performance in dynamic maritime environments
• Drive field testing and deployment strategies, overseeing validation of autonomy, perception, and control systems under operational conditions, and proactively identifying systemic issues
• Own the analysis of mission-critical performance data, translating operational insights into high-impact software improvements that enhance system behavior, reliability, and responsiveness
• Architect and integrate new autonomy capabilities, ensuring compatibility across software, sensors, and vessel hardware, while maintaining a modular and scalable system design
• Partner directly with operators, mission planners, and end-users, translating feedback into actionable requirements and guiding the evolution of the autonomy stack to meet mission needs
• Lead incident response and root cause analysis for complex issues spanning software, hardware, and networking layers, and implement durable solutions that strengthen system resilience
• Mentor and collaborate with cross-functional teams, aligning autonomy development with broader product and mission goals, and elevating engineering practices across the organization
• Establish and maintain technical standards, authoring deployment protocols, diagnostic tools, and documentation to support the reliable scaling of autonomy systems in operational fleets

Qualifications:

• 5+ years of experience developing autonomy or robotics systems, with a strong foundation in software engineering
• Proficient programming skills in C++, Rust, Python, or similar languages, with experience building and maintaining performance-critical systems
• Deep technical background in robotics, autonomy, or embedded systems, particularly within maritime, aerospace, or defense sectors
• Strong understanding of networking protocols and distributed systems, including TCP/IP, UDP, DDS, and message-passing frameworks (e.g., ROS, ZeroMQ)
• Extensive hands-on experience with perception sensors such as cameras, radar, GPS, and IMUs, with emphasis on integration and real-time sensor fusion
• Proven ability to debug and resolve complex, cross-disciplinary issues, spanning software, hardware, networking, and autonomy behavior
• Experience adapting autonomy systems to real-world constraints, including variable environments, limited communications, and platform-specific limitations
• Willingness and capability to lead field deployments (up to 50%), with a history of testing and refining autonomous systems in operational maritime or expeditionary contexts
• Expertise in motion planning, control systems, and behavior architectures, including behavior trees and adaptive navigation algorithms
• Domain knowledge in maritime systems, naval operations, or defense technology, with an understanding of mission-critical operational needs
• Familiarity with distributed autonomy and multi-agent coordination, including decentralized planning and task-sharing in communication-limited settings
• Leadership in system integration, testing, and operationalization, collaborating across engineering, product, and field teams to deliver robust, deployable systems

Benefits:

• Medical Insurance: Comprehensive health insurance plans covering a range of services
• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care
• Saronic pays 100% of the premium for employees and 80% for dependents
• Time Off: Generous PTO and Holidays
• Parental Leave: Paid maternity and paternity leave to support new parents
• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses
• Retirement Plan: 401(k) plan
• Stock Options: Equity options to give employees a stake in the company’s success
• Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage
• Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

Physical Demands:

• Prolonged periods of sitting at a desk and working on a computer
• Occasional standing and walking within the office
• Manual dexterity to operate a computer keyboard, mouse, and other office equipment
• Visual acuity to read screens, documents, and reports
• Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies
• Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages)

Additional Information:

This role requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3)

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Our team is focused on making boats go and perform tasks with no human involvement. This job is available at multiple levels, including entry, senior, and staff.

The successful candidate will develop algorithms and models which allow boats to sense and navigate, as well as develop metrics which allow quantitative analysis of improvements and regressions in boat performance.

Responsibilities:

• Develop algorithms and models which allow boats to sense and navigate
• Develop metrics which allow quantitative analysis of improvements and regressions in boat performance
• Analyze and work with large data systems to enable model training and evaluation

Requirements:

• Strong programming fundamentals
• Extensive programming experience and demonstrated ability to work on large systems
• Computing Fundamentals
• A general understanding of operating systems and or similar large scale systems
• An understanding of basic computer architecture
• A demonstrated willingness to learn and pivot based on new information

Useful Skills:

• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch)
• Understanding of various filters and their applications
• Proficiency in Rust
• Experience with maritime or autonomous vehicle projects
• Experience with signals processing or sensor fusion
• Experience with low latency inference and tracking pipelines
• Experience with path planning algorithms
• Experience training and deploying multi modal models
• Experience with various sensors including radar, cameras, and lidar
• Experience developing and optimizing deployed ML systems

Physical Demands:

• Prolonged periods of sitting at a desk and working on a computer
• Occasional standing and walking within the office
• Manual dexterity to operate a computer keyboard, mouse, and other office equipment
• Visual acuity to read screens, documents, and reports
• Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies
• Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages)

Benefits:

• Medical Insurance: Comprehensive health insurance plans covering a range of services
• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care
• Saronic pays 100% of the premium for employees and 80% for dependents
• Time Off: Generous PTO and Holidays
• Parental Leave: Paid maternity and paternity leave to support new parents
• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses
• Retirement Plan: 401(k) plan
• Stock Options: Equity options to give employees a stake in the company’s success
• Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage
• Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

Additional Information:

This role requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3).

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Key responsibilities include:

• Supporting system integration of RF hardware, software, and platform-level components (air, land, sea, or space)
• Planning and executing test & evaluation (T&E) activities, including lab and field testing
• Generating and maintaining technical documentation, requirements, and verification artifacts
• Meeting with clients and stakeholders to identify, gather, and document technical requirements
• Analyzing project technical features, creating diagrams, and building models to define system behavior
• Ensuring that requirements are correct (validation) and that the final system meets those requirements (verification)
• Maintaining traceability of requirements from design to testing to prevent scope creep
• Working with software, RF, hardware, and project management teams to align design with user needs

Required qualifications include:

• A bachelor's degree in Systems Engineering, Computer Sciences, Physics, or a related field
• Experience with simulation tools, modeling tools, and requirements management software
• A strong understanding of signal processing fundamentals (FFT, filtering, detection theory)
• Experience with modeling and simulation tools (e.g., MATLAB, Simulink, Python)
• Familiarity with RF test equipment (spectrum analyzers, signal generators, network analyzers)
• The ability to obtain and maintain a U.S. security clearance

To conform to U.S. Government export regulations, applicants must be a U.S. citizen, green card holder, or be eligible to obtain the required authorizations from the U.S. Department of State.

What we offer includes:

• A competitive salary, stock options, and benefits, including health, vision, and dental
• 401K enrollment at 90 days
• Generous PTO + most federal holidays observed
• A collaborative and inclusive work environment
• Access to the latest tools and technologies
• High levels of responsibility and autonomy
• Professional growth and development opportunities
• Access to the hardest problems in electronic warfare

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As a High Frequency Electromagnetics Application Engineer, you will be part of the Electronics High Frequency team within the Ansys Customer Excellence group. This team is comprised of experts in RF, signal integrity, and simulation technologies, working collaboratively across disciplines and regions to deliver innovative solutions.

Your primary responsibilities will include:

• Leading and assisting in coordinating technical activities throughout the sales opportunity lifecycle, including technical discovery, product presentations, demonstrations, and evaluations.
• Providing best-in-class solutions involving RF, antenna flows, and PCB/system interactions for signal and power integrity flows, EMI/EMC, collaborating across regions and functions.
• Participating in external and internal events to enhance RF/SI/PI/EMI simulation solutions and contribute to professional growth and marketing efforts.
• Acting as a product expert for Ansys products, engaging with customers to understand their design needs and workflows, highlighting Ansys' value proposition.
• Working closely with product development teams to translate customer requirements into innovative product features and test new releases on industrial problems.
• Delivering consulting services and conducting introductory or intermediate training classes to empower customers and colleagues.

In this role, you will drive customer success by integrating advanced simulation tools into their engineering workflows, enabling efficient and accurate design outcomes. You will also enhance Synopsys' reputation for technical excellence and customer-centric innovation through tailored solution delivery.

Requirements:

• MS/PhD in Electrical/Electronic Engineering or equivalent, with specialization in electromagnetics.
• 5–7 years of experience in the high-frequency domain, using simulation tools for real-world applications.
• Expertise with Ansys HFSS, SIwave, Q3D Extractor, or comparable industry simulation software.
• Understanding of high-frequency, microwave, and antenna concepts, including S-parameters, wave propagation, and radiation patterns.
• Ability to research, debug, and resolve software-related issues efficiently.

Preferred qualifications include familiarity with signal and power integrity simulation, experience building automation workflows for RF/Signal/Power Integrity/EMC simulation flows, knowledge of commercial packages such as ADS, SystemVue, Simulink, AWR, CST, FEKO, and awareness of 5G systems, phased array, digital beamforming, microwave components, communication, and radar systems.

If you are a logical problem-solver with strong interpersonal and communication skills, highly organized and adept at time management, professional, business-oriented, and driven to succeed in fast-paced environments, we encourage you to apply.

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Key responsibilities include:

• Working independently within multi-disciplinary teams to significantly grow our business for a full portfolio of simulation products, particularly within the Aerospace and Defence sector.
• Demonstrating profound technical mastery and knowledge of engineering simulation techniques, specifically within aerospace domains, to provide the highest level of technical support to customers, ensuring high-quality and timely service.
• Regularly interacting with aerospace customers to understand their solution needs, key business initiatives, and engineering design workflows, addressing their requirements for solutions during design and engineering stages.
• Leading complex customer engagements throughout the sales opportunity lifecycle, interacting with key customers to understand their technology needs, key business initiatives, engineering design workflows, and articulate our value proposition to Director or C-level audiences.
• Gathering and documenting relevant metrics to demonstrate the impact of technical engagements and proposed solutions.
• Gathering customer requirements to support the continuous improvement of our software and collaborate with product development teams to translate customer requirements into new product capabilities, guiding the product roadmap.
• Participating in internal corporate initiatives to share knowledge and to create best practices, both within and outside the Aerospace discipline.
• Mentoring junior application engineers, fostering their technical growth and customer-facing skills.
• Supporting field and digital marketing efforts, including authoring conference presentations, technical papers, and webinars relevant to aerospace applications.

As a Staff Engineer, you will have the opportunity to make a significant impact on our business and contribute to the growth of Synopsys' market share in mission engineering applications.

Requirements include:

• Bachelor's, Master's, or PhD in Aerospace/Astronautical/Mechanical/Electrical Engineering, or a closely related field.
• 4-5 years of hands-on experience in modelling and simulation of complex aerospace systems.
• Fluency in writing and speaking both German and English.
• Competency in Object Oriented Programming (OOP) and familiarity with Python, MATLAB, C#, Java.
• Familiarity with Communications, Radars, & Sensors Systems (RF propagation, link analysis, jamming/interference, detection and tracking).
• Demonstrated understanding of aerospace engineering practices, product development lifecycles, experience with building solutions using simulation technology, and deploying those solutions within customers' engineering workflows.
• Knowledge of Multiphysics tools (e.g. structural, fluid dynamics, electromagnetics, thermal, etc).
• Track record of delivering exceptional customer outcomes and contributing to revenue impact with A&D industry.
• Ability to organize and drive multiple complex projects across geographically diverse locations.
• Ability to travel up to 30% of the time.
• Demonstrated use of Ansys DME software (STK, ODTK) is preferred.
• Understanding of Model-Based Systems Engineering is preferred.

Preferred qualifications include familiarity with Astrodynamics (orbital mechanics, trajectory optimization) and/or Flight Dynamics (aircraft stability and control, aerodynamic performance).

As a successful candidate, you will have excellent communication skills, be customer-centric, and have a consultative approach with strong relationship-building skills. You will also be a team player, collaborative, and supportive of global colleagues. You will have strong leadership and mentoring skills, analytical thinking, and problem-solving abilities. You will be proactive, open to new technologies and industry developments, and have logical problem-solving skills with the ability to facilitate and conduct webinars and presentations to customers and a wide range of audiences.

The team you will be part of is a dynamic, globally distributed team focused on advancing model-based engineering within the defense sector. Our team covers mission engineering topics worldwide, working collaboratively to increase the adoption and impact of Synopsys Digital Mission Engineering software. Together, we drive innovation, share knowledge, and deliver solutions that empower our customers to achieve their missions.

Rewards and benefits include a comprehensive range of health, wellness, and financial benefits to cater to your needs. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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We currently have 614 open roles

This position is a remote role; however, the successful candidate must be based in either the Huntsville, AL, or Colorado Springs, CO area.

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

Ansys Government Initiatives (AGI) is a wholly owned subsidiary of Synopsys, focused on advancing digital modeling and simulation for critical aerospace and defense applications. Our Ansys Customer Excellence (ACE) team collaborates with industry leaders and government agencies to model real-world systems and deliver state-of-the-art solutions for multi-domain, missile defense, sensor simulation, and AI/ML-driven analysis.

You Are:

You are a highly experienced engineering professional with a passion for advancing technology in aerospace and defense. Your expertise spans missile defense, sensor phenomenology, and signature modeling, allowing you to bridge the gap between physics-based simulations and real-world operational needs. You thrive in environments where complex systems require innovative thinking and technical rigor, and you are eager to make a meaningful impact on national security and defense initiatives.

Your deep domain knowledge enables you to integrate multi-domain sensing systems and radar phenomenology into simulation frameworks, supporting next-generation analysis and simulation. You possess a strong background in modeling threat trajectories, sensing environments and phenomenology, and generating datasets for AI/ML training. Your technical leadership and collaborative spirit empower you to work alongside subject matter experts, government partners, and industry stakeholders, ensuring the highest standards of simulation fidelity and accuracy.

With an active DoD TS/SCI clearance, you are ready to tackle sensitive and challenging projects. Your self-motivation, organizational skills, and ability to multitask equip you to excel in a fast-paced, timeline-driven environment. You are fluent in technical communication, adept at problem-solving, and driven to succeed in contributing to the aerospace and defense community.

What You’ll Be Doing:

• Develop high-fidelity modeling and simulation environments for air and missile defense systems.

• Model threat trajectories and associated signature behaviors across multiple sensing modalities, including RF, IR, and other relevant spectra.

• Develop and integrate signature simulation capabilities to represent realistic missile launch, staging events, and associated sensor-observable phenomena.

• Apply expertise in radar phenomenology and RF sensing systems, including understanding how different radar bands and sensor architectures observe and interpret target behavior.

• Simulate complex sensor observations for threat detection, tracking, discrimination, and battle management decision support.

• Implement and utilize advanced modeling frameworks to represent sensing systems, track fusion, and custody management functions across the missile defense kill chain.

• Contribute to the design and generation of synthetic data environments for training AI/ML systems used in sensor interpretation, target discrimination, and data fusion

• Develop robust training datasets covering target-present and target-absent scenarios to mitigate algorithmic bias.

• Collaborate with experts in signature characterization, sensor phenomenology, and threat modeling to ensure simulation fidelity and technical accuracy.

• Support integration of modeling and sensing simulations into larger operational and analysis frameworks.

• Provide technical leadership in missile defense sensing, signature modeling, and simulation fidelity.

• Assist in defining modeling requirements and technical approaches for emerging programs involving generative simulation of sensing systems.

The Impact You Will Have:

• Advance the development of next-generation air and missile defense systems through high-fidelity simulations.
• Enhance the realism and accuracy of threat modeling, supporting critical defense analysis and simulation.
• Drive innovation in sensor simulation and data generation for AI/ML applications in defense environments.
• Improve operational effectiveness by enabling robust detection, tracking, and discrimination capabilities.
• Support national security initiatives through technical leadership and expertise in missile defense architectures.
• Foster collaboration across government, industry, and research partners to deliver impactful solutions.
• Mitigate algorithmic bias and improve machine learning model performance with comprehensive synthetic datasets.
• Contribute to the integration of advanced simulation tools into broader operational frameworks, enhancing overall system capabilities.

What You’ll Need:

• BS degree in Engineering, Physics, Computer Science, or related field (Minimum Requirements -BS+10, MS+8years of experience, Preferred Requirements-BS+12, MS+10, or PhD+7years of experience).
• Proficiency in MATLAB or Python scripting for modeling and interfacing with DoD systems.
• Extensive experience in air and missile defense systems and related sensor architectures.
• Deep understanding of sensor phenomenology and signature modeling, including RF and IR signatures.
• Experience with real-world radar or EO/IR systems and data, to include threat systems.
• Experience modeling radar sensing environments, including knowledge of radar bands (e.g., X-band) and their implications for target detection and characterization
• Experience with Systems Tool Kit (STK) and Advanced Framework for Simulation, Integration and Modeling (AFSIM).
• Familiarity with track fusion, discrimination algorithms, and battle management concepts within missile defense architectures.
• Experience generating synthetic datasets for AI/ML training.
• Understanding of machine learning data preparation and bias mitigation for sensor and target recognition applications.
• Understanding of missile flight dynamics, including staging events and trajectory behaviors that impact sensor observables.
• This position requires an active government security clearance, TS/SCI. You must be a U.S. Citizen for consideration.

Who You Are:

• Logical problem-solver with strong interpersonal and communication skills.
• Fluent in writing and speaking English.
• Organized, with effective time management and a sense of urgency.
• Professional image and business acumen; driven to succeed.
• Self-motivated, able to multitask and thrive in timeline-driven environments.
• Collaborative, able to work with other departments, customers, and industry partners.
• Willing to travel domestically up to 25% of the time.

The Team You’ll Be A Part Of:

You will join the Ansys Customer Excellence (ACE) team, a group of passionate engineers and technical experts dedicated to advancing simulation, modeling, and analysis for the aerospace and defense sector. The team collaborates closely with government agencies, laboratories, and industry partners to deliver innovative solutions that shape the future of air and missile defense. Together, we strive for technical excellence, operational impact, and continuous improvement in digital

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At Synopsys, interns dive into real-world projects, gaining hands-on experience while collaborating with our passionate teams worldwide,and having fun in the process! You'll have the freedom to share your ideas, unleash your creativity, and explore your interests. This is your opportunity to bring your solutions to life and work with cutting-edge technology that shapes not only the future of innovation but also your own career path.

What You'll Be Doing:

• Utilize the Ansys Technical Support Toolset and your engineering knowledge to help customers solve real-world engineering simulation challenges.
• Develop subject matter expertise in Ansys simulation products such as STK, ODTK, TETK, and Digital Mission Engineering Components.
• Deliver exceptional customer support, driving customer satisfaction and enabling effective usage and deployment of Ansys software.
• Submit product improvement suggestions, file defect reports, verify fixes, and participate in field testing of new releases to ensure customer requirements are met.
• Engage in strategic team and company initiatives, contributing to broader organizational goals and innovation.

What You'll Need:

• Currently pursuing a BS in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or a related field.
• Experience with one or more programming languages: Python, Matlab, C++, or Java.
• Logical problem-solving skills paired with strong interpersonal and communication abilities; fluency in spoken and written English.
• Strong organizational and time management skills, with a proactive sense of urgency.
• Professional demeanor and demonstrated business acumen.
• _Preferred:_ Experience with Ansys software or other CAE, CAD, EDA, PLM tools; familiarity with STK or ODTK; background in Astrodynamics, Aerodynamics, Communications, Radar, Geospatial Analysis, Spacecraft Operations, or Space Situational Awareness.

Key Program Facts:

• Program Length: 3 months.
• Location: Exton, PA, USA.
• Working Model: Onsite.
• Full-Time/Part-Time: Full-Time.
• Start Date: May or June 2026.

Salary Information: The base salary range across the U.S. for this role is between $32.00-$48.00 per hour. In addition, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request.

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You are a forward-thinking cybersecurity professional with a passion for defending critical infrastructure and sensitive data. As a Cyber Security Engineer at Synopsys, you will be responsible for configuring, implementing, and maintaining host-based firewalls, intrusion prevention systems (IPS), anti-virus software, SELinux, network firewalls, SIEMs, and proxies across diverse environments.

Key Responsibilities

• Configuring, implementing, and maintaining host-based firewalls, intrusion prevention systems (IPS), anti-virus software, SELinux, network firewalls, SIEMs, and proxies across diverse environments.
• Developing, updating, and documenting Standard Operating Procedures (SOPs) for security tools and maintaining accurate network diagrams.
• Creating and deploying host and network countermeasures based on open source intelligence (OSINT), behavioral analysis, and evolving threat landscapes.
• Monitoring, tuning, and implementing security controls in tools such as McAfee ePO and Palo Alto to ensure optimal protection.
• Managing and troubleshooting Security Information and Event Management (SIEM) feeds, ensuring timely detection and response to security events.
• Designing and implementing custom QRadar dashboards to visualize and analyze critical security datasets.
• Leading incident response efforts, ensuring chain of custody is maintained and investigations are thoroughly documented.
• Characterizing and analyzing network and host traffic to identify anomalous activity and mitigate potential threats.
• Developing and deploying custom Data Loss Prevention (DLP) signatures within Microsoft O365, Palo Alto, and McAfee environments.

Impact

• Strengthening the security posture of Ansys Government Initiatives (AGI) by proactively defending against emerging threats.
• Ensuring compliance with rigorous federal and organizational security standards, supporting government and commercial initiatives.
• Reducing risk of data breaches and operational disruptions through robust countermeasure development and incident response.
• Enhancing operational readiness by keeping security documentation, SOPs, and network diagrams current and actionable.
• Empowering internal teams and stakeholders by providing clear security guidance, training, and technical leadership.
• Contributing to a culture of continuous improvement, innovation, and collaboration within the security team and broader organization.

Requirements

• Minimum two (2) years performing system administrator duties for Windows and/or Linux environments.
• This position requires a government security clearance. You must be a U.S. citizen for consideration.
• SEC+ or equivalent industry-recognized certification.
• At least two (2) years of experience in an Enterprise Security Operation Center (SOC) or similar response team.
• Minimum two (2) years supporting the Federal Government—either directly or as a contractor—in a security-related field.
• Strong technical understanding of current hardware and software technologies, including security tools and platforms.

Who You Are

• Analytical thinker with excellent problem-solving and decision-making skills.
• Organized, self-motivated, and able to prioritize competing requests in a dynamic environment.
• Exceptional communicator, able to translate complex technical concepts for diverse audiences and present information to groups.
• Collaborative team player, eager to support and learn from colleagues while driving collective success.
• Customer-focused, with strong relationship management skills and a commitment to user education and support.
• Adaptable and resilient, ready to respond to urgent issues and evolving security challenges.

The Team You’ll Be A Part Of

You’ll join the Ansys Government Initiatives (AGI) Cybersecurity team, a specialized group dedicated to protecting sensitive government and commercial assets. The team collaborates closely with internal stakeholders, federal partners, and industry experts to safeguard critical infrastructure and ensure compliance with the highest security standards. Together, you’ll drive innovation, share knowledge, and foster a culture of trust and resilience.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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