The RF Payload Engineer will be responsible for ensuring that all technical objectives are met while adhering to contractual requirements. This role will involve collaborating with cross-functional teams, customers, platforms, and coordinating with stakeholders to deliver innovative payload solutions that meet customer needs.

Key responsibilities include:

• Evaluating and validating RF systems to ensure optimal performance and reliability.
• Seamlessly integrating platforms to enhance overall system functionality and efficiency.
• Defining and specifying essential RF components to support system requirements.
• Organizing and delivering compelling presentations to stakeholders, showcasing test results and insights.
• Executing practical testing in real-world environments to validate system performance under actual conditions.
• Conducting thorough analyses to assess electromagnetic interference and compatibility with co-located systems.
• Performing Electromagnetic Interference (EMI) and Electromagnetic Compatibility (EMC) testing to ensure compliance with industry standards.
• Executing comprehensive field tests to verify system functionality and performance in operational scenarios.
• Developing and implementing a robust verification and validation plan for end-to-end system assurance.

Required qualifications include:

• 5+ years of experience in RF payload integrations or a related field, preferably in aerospace or defense industries.
• Electrical Engineering with emphasis in electromagnetic, RF, and antenna theory with Test Experience.
• Basic understanding of Aerodynamics, Inertial Measurement Units (IMUs), Control Actuation Servos, and how those disciplines relate to overall system performance.
• Experience with data analysis, rapid prototyping, and early-stage customer deployment.
• Hands-on testing and validation of RF systems.
• Ability to engage technically with mechanical, electrical, firmware, sensors, and software leads.
• High ownership, mission-oriented mentality.
• Extremely organized and detail-oriented, with strong verbal & written communication skills.
• A sincere commitment to a positive, inclusive, and collaborative culture.
• Ability to travel as required for test planning and execution about 50% of time.

Preferred qualifications include:

• Real-world operational experience with small UAS systems in a military context desired.
• Knowledge of regulatory standards and compliance requirements in the aerospace industry.
• Experience with project management tools and methodologies.

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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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Key Responsibilities:

• Support sensor integration activities from specification through production
• Develop and execute sensor characterisation and calibration procedures for IMUs, GNSS receivers, cameras, and other navigation sensors
• Contribute to sensor trade studies and selection processes

Collaboration:

• Work closely with electrical engineering, mechanical engineering, and software engineering teams on electrical interfaces, power distribution, and signal conditioning, mounting solutions, alignment, and thermal/vibration considerations, software interfaces, drivers, data acquisition, and calibration implementation
• Participate in design reviews across EE/ME/SW disciplines, providing interdisciplinary perspective and coordination

Technical Contributions:

• Develop and execute test plans for sensor performance characterisation and validation
• Document sensor characteristics, trade studies, and integration requirements
• Develop or modify calibration scripts and data processing tools
• Support development of calibration procedures and tooling
• Debug issues spanning hardware-firmware-software boundaries
• Review and contribute to schematics, CAD models, and code as necessary

Requirements:

• BS in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Physics, or related field
• 1-4 years of relevant experience (new grads with strong cross-functional internship/project experience will be considered)
• Demonstrated ability to work across at least two of: electrical, mechanical, software domains

Desirable Qualifications:

• Experience with navigation or localisation sensors (IMUs, GNSS, cameras, altimeters, etc.)
• Exposure to sensor calibration or characterisation activities
• Basic proficiency with engineering tools such as Altium, NX, and Teamcenter
• Familiarity with embedded systems or real-time software
• Understanding of coordinate transformations or sensor fusion concepts
• Experience with automated testing or data acquisition systems
• Knowledge of aerospace environmental testing or standards

Offer Package:

• Pay within range listed ($110,000 - $170,000 a year) + Bonus + Benefits + Equity

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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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