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Johns Hopkins Applied Physics Laboratory

Not-for-profit UARC delivering national security research

Autonomous Systems Graduate - Intelligent Autonomous Systems Development, Test and Artificial Intelligence

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeLaurel, MD, USAIn-person

About the Job

Requirements

  • Have a Bachelor's or Master's degree in a STEM field such as Math, Computer Science, Physics, or Engineering, or a related area.
  • Be skilled in C++, Python, and software design patterns.
  • Have experience with applications for physical systems such as mechanical, aerospace, or robotics.
  • Be able to obtain an Interim Secret security clearance by the start date and ultimately obtain a Top Secret/SCI-level clearance; eligibility requires U.S. citizenship.

Responsibilities

  • Work on teams in one or more areas: intelligent control and decision-making, complex battlefield management, human-machine/multi-agent collaboration, networked distributed systems and reinforcement learning, software/hardware design, flight system test and evaluation, and next-generation autonomous air platforms.
  • Prototype and simulate AI and autonomous systems by writing code, developing simulation and visualization software, creating algorithms, or interfacing software and hardware.
  • Contribute to all facets of the data-to-deployment lifecycle of machine learning models.
  • Collaborate with experts in AI-enabled combat systems and work with engineers, scientists, and software developers to deliver capability to the warfighter.

Desired Qualifications

  • Have experience developing in a modern software development environment that includes automated testing, continuous integration and deployment, and DevSecOps environments.
  • Have proficiency in additional programming languages and environments, including C, C#, Java, Linux, JavaScript, Terminal, Bash, PyTorch, TensorFlow, Unity, and MATLAB; full-stack development; simulation development; cloud computing; and configuration management.
  • Have experience working with sensors, hardware, or flight test support.
  • Have additional classroom or professional experience with autonomous systems, artificial intelligence, deep learning, reinforcement learning, machine learning, robotics, dynamics and controls, flight test and evaluation, modeling and simulation, aerodynamics, air combat platform design, data science, and statistical analysis.
  • Have completed certifications or internships.

About the Company

Johns Hopkins Applied Physics Laboratory

Not-for-profit UARC delivering national security research

Johns Hopkins Applied Physics Laboratory (APL) is a not-for-profit university-affiliated research center that provides solutions to complex national security and scientific challenges through technical expertise, prototyping, research and development, and analysis. It uses engineering, simulations, and studies to design prototypes and deliver analyses that support government and partner organizations. Unlike many commercial firms, APL operates as a non-profit affiliated with Johns Hopkins and focuses on mission-oriented research rather than selling finished products. Its goal is to provide practical, thoroughly tested solutions to public-sector customers by performing research, developing prototypes, and offering expert analysis.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
United States
Founded
1942

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