Junior Software Engineer - AI/ML Applications
Role details
Job location
Tech stack
Requirements
Leidos' ,, is seeking a talented, entry-level software developer with the ability and experience to work multiple projects (primarily modeling & simulation efforts) within the Threat Modeling and Simulation Portfolio.
You will join a diverse team of junior-to-senior software developers, engineers, and scientists to help create unique solutions for complex problems. Our team solves important problems that make a difference and support our customers in the current and future defense of our nation; primarily in the areas of sensor characterization, modeling, simulation, data analysis, and algorithm development for electro-optical infrared (EO/IR) systems. The ideal developer candidate will also demonstrate experience in and/or enthusiasm toward developing a broader technical capability to support overlapping engineering and scientific disciplines with a particular focus on writing software to solve problems. Candidate will be expected to support multiple tasks in parallel, productively contribute to a team environment, and communicate effectively to management, coworkers, and customers.
You'll work within an established and very skilled team, alongside other contractors and our customers.Joining our team offers the opportunity to work with experts in their field and grow your career in an area that is appealing to you. You will quickly become an integral member of our team and be given the opportunity to take responsibility for challenging problems of your own. Because of this, we seek team members that are driven and engaged in their work while simultaneously demonstrating high character, given that you will often be working on sensitive and unique problems which require a high degree of trust from our customers.
provides a diverse portfolio of systems, solutions, and services covering land, sea, air, space, and cyberspace for customers worldwide. Solutions for Defense include enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence analysis and operations support. Our team is solving the world's toughest security challenges for customers with "can't fail" missions. To explore and learn more, click here !
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Candidate can expect to design, develop, and maintain software applications with AI/ML capabilities; build scalable data pipelines to ingest, process, and analyze large datasets; collaborate with a team of engineers and scientists to integrate machine learning models into EO/IR sensor simulations; optimize performance, reliability, and scalability for data-intensive workloads.
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Candidate is also expected to have the ability to work and to communicate effectively within a multidisciplinary team and have familiarity with software development for both Windows and Linux OS.
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Candidate must possess at least a bachelor's degree from an accredited university in software engineering, computer science, or an equivalent engineering or science degree with relevant software development experience.
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Strong, demonstrated experience in object-oriented programming principles.
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Proficiency in one or more of the following: Python, C++, C#.
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Understanding of software design principles and version control (Git).
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Experience processing and analyzing large datasets.
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Strong analytical and problem-solving skills.
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0+ years of experience in a related field.
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Must be a US Citizen
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Must be able to obtain and maintain a DoD security clearance.
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Candidate must be a resident of the North Alabama area or willing to relocate to the Huntsville - North Alabama, AL, area.
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Highly organized, demonstrating the ability to work independently at times due to a fast-paced and highly productive work environment.
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Interest in working multiple programs with proficiency in C++, C# and Python along with the ability to create design documentation, requirements specifications, and other technical documentation.
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Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn; proficiency in data visualization libraries such as matplotlib, plotly, etc. for data analysis and reporting; ability to translate complex datasets into meaningful insights for technical and non-technical stakeholders; experience deploying, integrating, and maintaining machine learning models within production software applications.
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Preference may be given to candidates with one or more of the following: recent stellar academic performance, a Secret clearance or above; a TS/SCI clearance (with CI Polygraph).