Working with industry partners, you will identify USA differentiated components and sub-manufacturers that would enable the creation of a broad portfolio of mission-specific compute solutions that would enable various platforms.

Key responsibilities include:

• Working with industry vendors and partners to source and design cutting-edge AI compute architectures, board-level solutions, and integrated systems.
• Collaborating with cross-functional engineering teams to design for our customers' requirements.
• Employing Model-Based Systems Engineering (MBSE) methodologies to effectively define interfaces between various system components within the architecture, ensuring seamless integration and streamlined development processes.
• Developing system architectures that encompass all critical components and subsystems, ensuring a holistic and integrated approach.
• Defining key capabilities and performance requirements of the hardware system, ensuring alignment with customer needs and industry standards.
• Decomposing system functionality into modular components, enabling efficient design and development processes.
• Leading thorough evaluations and making informed recommendations regarding potential external technology partnerships or vendors, leveraging their expertise when necessary to expedite hardware development processes.
• Leading comprehensive technical planning, system integration, verification and validation, cost and risk, as well as supportability and effectiveness analyses.
• Leading functional analysis, timeline analysis, detailed trade studies, requirements allocation, and interface definition studies to aid in translating customer requirements into hardware and software specifications.
• Providing oversight in conducting testing and validation of hardware designs, ensuring quality, reliability, and compliance with industry regulations and standards.
• Driving the product lifecycle from prototype to LRIP to FRP.

Requirements include:

• A Bachelor of Science degree in an engineering field AND 10 years of related professional/military experience in Computer Engineering, MBSE, Systems Engineering OR a Master's degree with 5 years of related professional/military experience.
• Previous experience working in hardware supply chain and manufacturing.
• Ability to set/manage customer and internal/external stakeholder expectations while also prioritizing key program initiatives (schedule, cost, quality, etc.).
• Strong understanding of various architecture frameworks (DoDAF, etc.), knowledge and understanding of interface control documents (ICDs).
• Experience with hardware verification, testing, and validation methodologies.
• Experience in data center server and/or personal computer manufacturing.
• Ability to obtain or have active DoD Top Secret Clearance with the ability to obtain SCI access, with a background investigation completed within the last 6 years or currently enrolled into Continuous Evaluation.

Salary range: $254,000-$336,000 USD.

Additional benefits include:

• Comprehensive medical, dental, and vision plans at little to no cost to you.
• 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.
• 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: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.

Please note that 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.
• 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.
• What to Do If You Suspect Fraud: Should you encounter any questions or concerns about the legitimacy of an Anduril job opportunity, please reach out to contact@anduril.com.

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This role is hands-on, detail-oriented, and highly cross-functional - requiring close collaboration with propulsion REs, technicians, machinists, production, controls, airframe, and flight test teams.

Responsibilities:

• Own the design and release of propulsion hardware supporting the engine, fuel, oil, and bleed air systems.
• Develop and maintain CAD models, drawings, and assemblies using Siemens NX with proper GD&T.
• Translate propulsion architecture and requirements into hardware that is manufacturable, testable, and robust in flight.
• Work directly with the machine shop, production, and technicians to support builds, resolve non-conformances, and drive iterative improvements.
• Support test campaigns by providing hardware design support, instrumentation accommodation, and rapid iteration based on test findings.
• Apply engineering judgment and analysis (e.g., hand calcs, ANSYS, FEA, GFSSP, REFPROP) to support sizing, load cases, and design validation.
• Support configuration management, BOM control, and change processes using Teamcenter or equivalent PLM.
• Participate in design reviews, interface control efforts, and root cause investigations related to propulsion hardware.

Requirements:

• Bachelor’s degree in Aerospace Engineering, Mechanical Engineering, or a related engineering discipline.
• 5+ years of experience in aerospace hardware design, preferably supporting propulsion systems.
• Proficiency in CAD modeling and drawing creation (NX preferred) with sound application of GD&T.
• Experience working directly with production, technicians, and machine shops to resolve real-world build issues.
• Understanding of design for manufacturing, including machining limitations, tolerance stack-ups, and assembly workflows.
• Some hands-on experience developing assembly guidance and supporting hardware builds and test integration.
• U.S. Citizenship or ability to comply with ITAR requirements.

Preferences:

• Experience with jet propulsion systems on UAVs or tactical aircraft.
• Familiarity with GFSSP, REFPROP, ANSYS, or FEA to support design trade studies and validation.
• Ability to write Python scripts for design automation, analysis, or data processing.
• Experience with interface control, fastener selection for high-vibration environments, and high-temperature materials.
• Experience designing hardware in test-driven development environments with rapid iteration cycles.
• M.S. in Aerospace Engineering or a related discipline.

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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.

XML job scraping automation by YubHub

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.

XML job scraping automation by YubHub

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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