We are seeking a Deputy Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, data management, decision systems, and mission planning software applications for the US National Security Ecosystem. This is an exceptional opportunity for an engineer with a combination of technical expertise, program leadership experience, and the ability to interface with customers to drive innovation, collaboration, and excellence in a fast-paced, growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multidisciplinary teams developing algorithms, software, cloud, and data management solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance

• Bachelor’s or Master’s or PhD in Computer Science, Software Engineering, Aerospace Engineering, Electrical Engineering, Physics or a related field

• Minimum of 5 years of experience in software development, with a focus on AI/ML, cloud computing, and/or decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have 

We are seeking a Deputy Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, data management, decision systems, and mission planning software applications for the US National Security Ecosystem. This is an exceptional opportunity for an engineer with a combination of technical expertise, program leadership experience, and the ability to interface with customers to drive innovation, collaboration, and excellence in a fast-paced, growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multidisciplinary teams developing algorithms, software, cloud, and data management solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance

• Bachelor’s or Master’s or PhD in Computer Science, Software Engineering, Aerospace Engineering, Electrical Engineering, Physics or a related field

• Minimum of 5 years of experience in software development, with a focus on AI/ML, cloud computing, and/or decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have 

We are seeking a Deputy Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, data management, decision systems, and mission planning software applications for the US National Security Ecosystem. This is an exceptional opportunity for an engineer with a combination of technical expertise, program leadership experience, and the ability to interface with customers to drive innovation, collaboration, and excellence in a fast-paced, growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multidisciplinary teams developing algorithms, software, cloud, and data management solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance

• Bachelor’s or Master’s or PhD in Computer Science, Software Engineering, Aerospace Engineering, Electrical Engineering, Physics or a related field

• Minimum of 5 years of experience in software development, with a focus on AI/ML, cloud computing, and/or decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have 

Job Summary:

We are seeking an experienced and talented Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, decision systems, and mission planning applications. This is an exceptional opportunity for a seasoned engineer to drive innovation, collaboration, and excellence in a fast-paced and growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multi-disciplinary teams developing algorithmic, software, cloud, and data solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance. Active Secret, Top Secret, or TS/SCI is preferred. 

• Master's degree or PhD in Aerospace Engineering, Computer Science, Physics, Electrical Engineering, or a related field

• Minimum of 10 years of experience in R&D, with a focus on AI/ML, software, and decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have

MORSE is seeking an experienced and talented Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, decision systems, and mission planning applications. This is an exceptional opportunity for a seasoned engineer to drive innovation, collaboration, and excellence in a fast-paced and growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multi-disciplinary teams developing algorithmic, software, cloud, and data solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance. Active Secret, Top Secret, or TS/SCI is preferred. 

• Master's degree or PhD in Aerospace Engineering, Computer Science, Physics, Electrical Engineering, or a related field

• Minimum of 10 years of experience in R&D, with a focus on AI/ML, software, and decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have

Job Summary

As an Aerospace Algorithms Engineer at MORSE you will be working on a broad set of applications developing novel physics, statistical, and mathematical models for use in mission planning tools used by military personnel and first responders. MORSE is looking for engineers with a strong background in physics, aerospace, robotics, math, and statistics who are also able to develop their algorithms in software to function efficiently and be readily testable.

Responsibilities:

• Develop and own algorithms throughout their lifecycle, including conception, development, documentation, deployment, and testing.

• Process and analyze raw data

• Simulate and validate algorithmic performance using dynamic systems.

• Present technical work through white papers, analysis test reports, and oral presentations.

• Collaborate with cross-functional teams to ensure seamless integration of algorithms into software solutions.

Skills and Requirements

The candidate must have the ambition to own mission planning algorithms for their entire lifecycle: conception of the solution, development, documentation, deployment in software, and testing. Most importantly, the candidate must be passionate about developing solutions that are fieldable!

• US CITIZENSHIP REQUIRED or the ability to obtain a U.S. Security Clearance.

• MS or PhD in Aerospace Engineering, Robotics, Physics or other relevant field.

• Proficiency in Python algorithm and software development practices.

• Strong background in physics, math, and statistics.

• Experience with developing algorithms and simulations.

• Experience simulating dynamic systems to test and validate algorithmic performance

• Experience describing systems via equations of motion derived from first-principle engineering analysis

• Experience presenting technical work through white papers, analysis test reports, and oral presentations.

• 5+ years of experience

Job Summary

As an Aerospace Algorithms Engineer at MORSE you will be working on a broad set of applications developing novel physics, statistical, and mathematical models for use in mission planning tools used by military personnel and first responders. MORSE is looking for engineers with a strong background in physics, aerospace, robotics, math, and statistics who are also able to develop their algorithms in software to function efficiently and be readily testable.

Responsibilities:

• Develop and own algorithms throughout their lifecycle, including conception, development, documentation, deployment, and testing.

• Process and analyze raw data

• Simulate and validate algorithmic performance using dynamic systems.

• Present technical work through white papers, analysis test reports, and oral presentations.

• Collaborate with cross-functional teams to ensure seamless integration of algorithms into software solutions.

Skills and Requirements

The candidate must have the ambition to own mission planning algorithms for their entire lifecycle: conception of the solution, development, documentation, deployment in software, and testing. Most importantly, the candidate must be passionate about developing solutions that are fieldable!

• US CITIZENSHIP REQUIRED or the ability to obtain a U.S. Security Clearance.

• MS or PhD in Aerospace Engineering, Robotics, Physics or other relevant field.

• Proficiency in Python algorithm and software development practices.

• Strong background in physics, math, and statistics.

• Experience with developing algorithms and simulations.

• Experience simulating dynamic systems to test and validate algorithmic performance

• Experience describing systems via equations of motion derived from first-principle engineering analysis

• Experience presenting technical work through white papers, analysis test reports, and oral presentations.

• 5+ years of experience

As a Chief Engineer (CE) at MORSE, you play a technical, strategic, programmatic, and management role driving our programs, people, and path forward. You will spearhead technical vision, work with customers to plot out the future efforts, and guide a team to execute. As a Chief Engineer - Battle Management, you will lead the design and development of mission-critical web and mobile applications that fuse complex data, enhance situational awareness, and accelerate the entire decision-making cycle—from planning to execution. 

 Responsibilities: 

• Define and champion the technical vision for our Battle Management systems, creating a roadmap that integrates advanced software architecture, data fusion, and intelligent user interfaces.

• Lead Agile, multi-disciplinary teams of 5-50+ Aerospace Engineers, Software Engineers, Mobile Developers, Human-Computer Interaction Engineers, and Cloud Engineers.

• Lead technical strategy for the development of intuitive software applications that make complex data readily available and actionable for warfighters in high-stakes environments with care for effective user experiences (UX) 

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery.

• Act as a primary technical liaison with government customers and industry partners, translating their strategic needs into actionable, cutting-edge R&D programs.

• Proactively identify and shape new opportunities, lead technical proposal efforts, and own the capture process to expand MORSE's impact and portfolio in Battle Management, Command and Control (C2), and Mission Planning.

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance. Active Secret, Top Secret, or TS/SCI is preferred. 

• A master's degree or PhD in a relevant discipline (e.g., Systems Engineering, Computer Science, Aerospace Engineering, Physics) or equivalent experience.

• 10+ years of experience leading technical teams, with a proven track record of designing and delivering complex, software-intensive systems for the defense or aerospace industry.

• Deep, hands-on experience designing architectures for complex, real-time distributed systems, such as Command and Control (C2), mission planning, or large-scale situational awareness platforms.

  Strong domain knowledge in one or more of the following: sensor fusion, mission planning, electronic warfare, or air/space operations

• Demonstrated understanding of underlying physical principles relevant to the domain (e.g., kinematics, sensor physics, RF propagation) and experience incorporating physical models into software systems.

• Proven leadership in modern software development, including service-oriented architectures, event-driven systems, and building applications for real-time data visualization.

• Proven leadership skills, with a track record of successfully managing high-performing technical teams.

• Proven experience in business development and program capture within the DoD or IC, including leading technical volumes for proposals and shaping customer requirements.

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly.

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences.

MORSE is looking for an Autonomy Software Engineer to research, develop and prototype novel autonomy software to enable pre-mission planning and operation of novel aircraft and other autonomous systems. MORSE is seeking an aeronautical, aerospace, mechanical, or electrical engineer in optimization, estimation theory, and/or guidance, navigation and control (GNC) algorithms. Responsibilities will include autonomy development from conceptualization, including the selection and evaluation of sensors, implementation, including software development, and evaluation, including data analysis. The role will involve developing and testing code in a simulation and HWIL environment as well as field tests of the implemented autonomy software. The ideal candidate will have a strong foundation in physics, math, statistics, and computer science, as well as experience handling electronic hardware and machine learning. The candidate will work with a multidisciplinary team in an agile environment to rapidly design, prototype and test autonomous systems.

Responsibilities:

• Research, develop, and prototype novel autonomy software and algorithms for autonomous systems

• Develop and evaluate autonomy software from conceptualization to implementation, including selection and evaluation of sensors, software development, and data analysis

• Design, develop, and test algorithms for autonomous systems, including sensor fusion, guidance, navigation, and control

• Develop and test code in simulation and Hardware-In-the-Loop (HWIL) environments, as well as participate in field tests of implemented autonomy software on vehicles and systems

• Collaborate with a multidisciplinary team in an agile environment to rapidly design, prototype, and test autonomous systems

Requirements:

• US CITIZENSHIP REQUIRED or the ability to obtain a U.S. Security Clearance.

• The candidate must have experience developing real-world solutions with computational constraints, measurement errors, and modeling uncertainty

• 5+ years of Autonomy, Guidance, Navigation and or Controls experience 

• Experience with developing both algorithms and the simulations for test and validation

• Expertise in positioning, navigation, and timing, particularly for aircraft

• The ideal candidate will have experience working on complex, multi-disciplinary R&D programs

• BS. or M.S. (preferred) in Aeronautical/Aerospace, or Electrical Engineering (Control or Signal Processing focus)  or equivalent degree/major

Desired Qualifications:

• Expertise in sensor fusion such as Kalman filtering and experience with multiple sensing modalities

• Experience with designing and integration of autonomy hardware (sensors, flight controllers)

• Experience with C++ and Python software languages and software design best practices.

• Experience with sensor modeling, simulation, and performance analysis

• Experience in ML model development and deployment using open-source tooling such as PyTorch and ONNX

• Ability to lead a small multi-disciplinary team is a plus

We're looking for an Electromechanical Systems Engineer who loves designing, building and flying aerial vehicles to join our team at MORSE Corp. This role will span aircraft design, autonomous vehicle integration and testing, sensor technology, and real-time embedded software. In this position, you will be involved in every aspect of integrating fixed wing aircraft—from mechanical build and electronics packaging to system integration and complete mechanical and electrical checkout. You will play an integral part in flight testing, building up and configuring novel autonomous UAVs, and supporting flight test events from start to finish. The ideal candidate will be comfortable loading and configuring autopilot software and excited to work hands-on across the entire development lifecycle, from initial assembly through operational flight testing.

RESPONSIBILITIES:

• Design, build, and flight test prototypes of unmanned aerial vehicles (UAV)

• Build up and integrate both hardware and electronic systems

• Apply problem-solving skills to rapidly prototype and test novel ideas

• Collaborate with cross-functional teams to develop and integrate hardware and software components

• Communicate effectively across technical and non-technical audiences

• Take ownership of projects from concept to delivery

REQUIREMENTS:

• US Citizenship and the ability to obtain a US security clearance

• BS. or M.S. (preferred) in Aeronautical/Aerospace, Mechanical Engineering or Electrical Engineering or equivalent degree/major

• Demonstrated experience applying first principles to solve complex problems

• Familiarity with SolidWorks, Altium, or other design tools

• Harness development: electrical component selection and fabrication to include crimping & soldering

• RC C2: familiarity with radio transceivers, power systems, and integration into a larger system

• Mechanical fabrication: laser cutting, wood working, basic composites, additive manufacturing

• Strong communication skills

• Self starter and planner

PREFERRED QUALIFICATIONS:

• Experience with unmanned aerial systems (fixed wing & VTOL platforms), flight controllers, power systems, sensors, navigation, communications, and R/C-based solutions

• Strong understanding of aircraft design, flight mechanics, and aircraft stability and control

• RC aircraft hobby & familiarity with commercial autopilots & peripheral sensors

• Experience with bench top and field experimental design to verify hardware design and performance requirements

• Familiarity with PX4, Ardupilot, or similar. Parameter configuration, firmware updating and management, log download and data archival.

MORSE is seeking a Human Computer Interaction Engineer to conduct user research, design, prototype, and evaluate systems under development. As a Human Computer Interaction Engineer, you will assist in design efforts for novel, cutting edge mobile, web, and software applications in artificial intelligence, machine learning, test & evaluation, and aerospace. You may also do front end software development, Many of the systems we develop are the first of their kind and are highly specialized for the military personnel who use them. We strongly believe that user-centered design is the only methodology to properly develop these systems.

This role will require superior communication and presentation skills. This person will be expected to conduct user research exercises to gain domain knowledge/insights and evaluate prototypes. This person must also be able to convey ideas/concepts to the rest of the development team and to stakeholders. This role requires a design background in some shape or form: either formal training or experience designing applications. Also, the ability to convey ideas visually through sketches, prototypes, or adobe tools is a necessity. Finally, this position requires candidates to have software development skills. Being able to implement designs (in code) is highly desired for this position.

RESPONSIBILITIES:

• Collaborate with cross-functional teams to define and design user experiences for Mobile, Desktop, and Web applications

• Design and development of software applications and software implementation of user interaction/experience designs

• Conduct user research exercises to gain domain knowledge/insights and evaluate prototypes

• Design, prototype, and evaluate novel data visualizations

REQUIREMENTS:

• US Citizenship required and ability to obtain a US Security Clearance.

• BS  degree in Information Design, Human Computer Interaction, Computer Science, Data Science, Engineering, or related subject

• An Interest in User Interface (UI) Design, User Experience (UX Design), Human-Machine Teaming, Human-AI Teaming, Human Computer Interaction, and/or Human Factors

• Experience conducting user research and understanding of various methods to perform such studies

•  Experience with Python, JavaScript, and React 

• Experience designing and prototyping software applications

• Visual design experience

• Exemplary communication skills (move higher) presenting to internal teams

• Self-starter and driven

We are seeking a Machine Learning Engineer to join our team at MORSE.  You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer vision (CV) and other types of data. You will be responsible for acquiring truth data, integrating algorithms, testing algorithms, combining algorithms, reviewing literature to stay on top of the latest-and-greatest methods, analyzing data from field tests, and developing advanced algorithms.  MORSE’s AI & ML work crosses modalities, and experience or interest in the fields of Large Language Models (LLM), audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE’s current team of engineers to transition algorithms to production, which may run on on-prem servers, on the cloud, or on a real-time embedded system. You will be part of our team working to accelerate our US National Security customers abilities to use natural language processing capabilities in mission-critical environments. 

Responsibilities: 

• Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object detection and tracking.  

• Use MLOps tools for efficient experiment tracking, data management, and reproducibility 

• Write robust, efficient, and maintainable code 

• Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE 

• Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of CV models 

Skills and Requirements: 

• US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance 

• Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field 

• Proven experience in applying CV models, techniques, frameworks, and libraries to implement and fine-tune models 

• Proven experience testing and validating the performance of AI technologies in real-world applications 

• Proficiency in Python  

• Experience with cloud platforms (AWS and Azure)  

• Experience with Docker 

• Experience with MLOps tools such as Airflow, MLFlow, AimStack, etc. 

• Exceptional communication skills and the ability to work well with customers 

• Understanding of Department of Defense requirements and standards is a plus 

We are seeking a Machine Learning Engineer to join our team at MORSE.  You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer vision (CV) and other types of data. You will be responsible for acquiring truth data, integrating algorithms, testing algorithms, combining algorithms, reviewing literature to stay on top of the latest-and-greatest methods, analyzing data from field tests, and developing advanced algorithms.  MORSE’s AI & ML work crosses modalities, and experience or interest in the fields of Large Language Models (LLM), audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE’s current team of engineers to transition algorithms to production, which may run on on-prem servers, on the cloud, or on a real-time embedded system. You will be part of our team working to accelerate our US National Security customers abilities to use natural language processing capabilities in mission-critical environments. 

Responsibilities: 

• Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object detection and tracking.  

• Use MLOps tools for efficient experiment tracking, data management, and reproducibility 

• Write robust, efficient, and maintainable code 

• Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE 

• Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of CV models 

Skills and Requirements: 

• US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance 

• Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field 

• Proven experience in applying CV models, techniques, frameworks, and libraries to implement and fine-tune models 

• Proven experience testing and validating the performance of AI technologies in real-world applications 

• Proficiency in Python  

• Experience with cloud platforms (AWS and Azure)  

• Experience with Docker 

• Experience with MLOps tools such as Airflow, MLFlow, AimStack, etc. 

• Exceptional communication skills and the ability to work well with customers 

• Understanding of Department of Defense requirements and standards is a plus 

We are seeking a Machine Learning Engineer to join our team at MORSE.  You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer vision (CV) and other types of data. You will be responsible for acquiring truth data, integrating algorithms, testing algorithms, combining algorithms, reviewing literature to stay on top of the latest-and-greatest methods, analyzing data from field tests, and developing advanced algorithms.  MORSE’s AI & ML work crosses modalities, and experience or interest in the fields of Large Language Models (LLM), audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE’s current team of engineers to transition algorithms to production, which may run on on-prem servers, on the cloud, or on a real-time embedded system. You will be part of our team working to accelerate our US National Security customers abilities to use natural language processing capabilities in mission-critical environments. 

Responsibilities: 

• Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object detection and tracking.  

• Use MLOps tools for efficient experiment tracking, data management, and reproducibility 

• Write robust, efficient, and maintainable code 

• Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE 

• Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of CV models 

Skills and Requirements: 

• US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance 

• Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field 

• Proven experience in applying CV models, techniques, frameworks, and libraries to implement and fine-tune models 

• Proven experience testing and validating the performance of AI technologies in real-world applications 

• Proficiency in Python  

• Experience with cloud platforms (AWS and Azure)  

• Experience with Docker 

• Experience with MLOps tools such as Airflow, MLFlow, AimStack, etc. 

• Exceptional communication skills and the ability to work well with customers 

• Understanding of Department of Defense requirements and standards is a plus 

MORSE is seeking a talented Robotics Software Engineer to join our team. The ideal candidate will have a strong background in embedded systems, navigation algorithms, and autonomy. You will be responsible for architecting systems, implementing custom algorithms, and integrating novel control systems into our aerial vehicles. This role will involve developing and debugging software, configuring systems for flight tests, and supporting the end-to-end development of prototype vehicles. A passion for innovation and the ability to bring novel Unmanned Aerial Systems (UAS) from concept to flight is essential.

Responsibilities:

• Architect systems with multiple microcontrollers, defining component roles and managing requirements.

• Implement custom navigation algorithms and autonomy logic in Rust and C++.

• Analyze vehicle flight logs and debug GNC and autonomy issues

• Develop and write LIDAR sensor drivers in C++ and Rust.

• Handle system configuration, ground station setup, and data management during local and remote flight tests.

• Develop control and path planning algorithms for aerial vehicles and integrate them into the PX4 ROS communications layer.

• Implement drivers for novel control actuation and integrate them into PX4 or other flight controllers.

• Incorporate flight models into the existing Python flight simulator and use the simulator for algorithm development.

• Develop Software-In-the-Loop (SWIL) and Hardware-In-the-Loop (HWIL) testing capabilities.

• Aid in system architecture, selection, and integration of flight controllers, electronics, and sensors.

• Support the development, integration, and testing of prototype vehicles.

• Write, test, and debug drivers such as CANopen actuators and beyond line-of-sight radios in C++ and Python.

• Demonstrate familiarity with low-level embedded programming concepts such as memory management, data structures, algorithms, and bit manipulation.

Requirements:

• U.S. Citizenship required and ability to obtain a U.S. Security Clearance

• Bachelor’s degree in Robotics, Electrical Engineering, Computer Engineering, Computer Science, Aerospace Engineering or a related field. Master’s degree preferred.

• Strong skills in C++, Rust, and Python.

• Experience in navigation algorithms (SLAM, path planning) and autonomy logic.

• Experience with low-level embedded programming and microcontrollers.

• Experience with PX4 or other flight controllers

• Skilled in system architecture, component definition, and integration of prototype vehicles.

• A passion for taking novel UAS from concept to flight!

MORSE Corp is seeking a Technical Recruiter to join our Talent Acquisition team in all aspects of recruiting for our growing and highly talented workforce. You will source candidates, screen, and facilitate the recruiting process for high-caliber engineering reqs in a broad set of technical domains. These domains include software engineering, data science, machine learning/AI, human factors, and aerospace. Additionally, you will help develop and optimize MORSE's recruiting strategy, to include skill-need discovery, sourcing methods, employer branding, university/student engagement, and screening techniques.

RESPONSIBILITIES

• Partner with hiring managers across our teams and programs to identify talent needs and suitable candidates for software, data science, and engineering roles 

• Utilize outbound sourcing strategies to find talented candidates from entry to executive level

• Own the full cycle recruiting process from initial contract (sourcing or application) to onboarding

• Find creative ways to establish the MORSE employer brand and attract talent 

• Integrate the MORSE values into all aspects of the recruiting process

REQUIREMENTS

• US CITIZENSHIP REQUIRED 

• 1+ years of experience in technical recruiting, either corporate or agency

• Hands-on experience using recruiting and sourcing tools such as job boards, social media, applicant tracking systems (Greenhouse) search engines, and other active methods of reaching active and passive candidates

• Demonstrated capability to source top technical talent spanning the range from entry-level to executive

• Ability to screen candidates and assess technical and corporate fit

• Outstanding organizational, time management, and process management skills and exceptional attention to detail

• Proven interpersonal skills and experience building strong relationships with candidates