Remote Position

Mechanical/Software Engineer

🌍 Remote · United States 💼 Full-time

Benefits: 401(k) 401(k) matching Bonus based on performance Competitive salary Flexible schedule Paid time off Training & development We’re seeking a Mechanical Engineer with a strong foundation in aerospace systems, particularly unmanned aerial systems (UAS) or manned aircraft applications. This role supports the design, integration, and testing of sensor systems that blend mechanical, software, and networking disciplines. The ideal candidate will have at least 5 years of experience, including internships, and be comfortable working in a remote, self-organizing team environment. You’ll be supporting senior engineers across multiple active programs, helping to shape cutting-edge technology used in national defense and geospatial intelligence.

Key Responsibilities

Provide mechanical design support for aerospace sensor systems and related technologies Develop CAD models and drawings using SolidWorks Support ground, bench, and flight testing of systems Perform feasibility studies and trade-space analyses Reduce and analyze test data and present findings to technical and non-technical audiences Collaborate with software developers and data engineers to support integrated systems Contribute to the development and maintenance of networked data systems (servers, cloud, and localized devices) Author white papers, technical reports, and customer-facing documentation Participate in business development efforts, including proposal development and pipeline research Travel as needed to support testing, integration, or customer engagement

Qualifications

Required: B.S. in Mechanical Engineering; Master’s preferred Minimum 5 years of experience (including no more than 2 years of internships) in mechanical engineering roles supporting integrated systems Aerospace experience with unmanned or manned aircraft systems Proficiency in SolidWorks and MATLAB; experience with programming (C++ or C#) a plus Familiarity with data/network architectures and cloud-based systems Strong communication skills and the ability to work independently in a remote setting U.S. Citizenship and eligibility for a U.S. security clearance (up to TS/SCI) Preferred: Experience working with sensor systems in aviation or geospatial environments Familiarity with Agile development practices or pair programming Knowledge of defense or government acquisition processes

What We Offer

Flexible remote work environment Professional development and continuing education support Opportunity to contribute to national security and cutting-edge aerospace technology Collaborative, mission-driven team culture Competitive salary and benefits package This is a remote position. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. THE PEMDAS STORY In 2008, Mary Lockhart, President and CEO of PEMDAS Technologies & Innovations, first identified the need for the Department of Defense, the Intelligence Community, civilian emergency response authorities, and the private sector to integrate Environmental Intelligence (EI) into their most critical activities. She gathered a team of dedicated Subject Matter Experts to ensure PEMDAS client needs were met. Since then, PEMDAS has delivered on that vision, providing clients with unique services and insights to help them succeed. OUR EXPERTISE PEMDAS’ team of nationally recognized experts and highly skilled engineers – all of whom have a proven record of exceeding objectives – brings expertise to solve complex problems for our clients by using innovative approaches, strategic planning, the application of proven systems engineering methodologies, and effective communication. PEMDAS management includes senior leaders from the military, atmospheric science, systems engineering, risk assessment, lifecycle product development, and high-end engineering services. Our expertise crosses disciplines and application systems: High spatial and temporal resolution rapid updating environmental intelligence forecasts Real-time environmental alerts and warnings Assimilation of disparate data sources into environmental prediction system Tailored applications for unique missions utilizing environmental hazard data EI decision support products in four dimensions (3D + time) OGC compliant web-service delivered data “Big Data” analytics Artificial Intelligence (AI) / Machine Learning (ML)

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