Software Developer, Training Systems

Software Developer, Training Systems

Description

Join our pioneering team at Leidos' High Fidelity Simulation Business Area, where we lead the charge in creating cutting-edge System of Systems solutions for the US Navy's simulation, training, and analysis needs. Picture yourself at the forefront of innovation, crafting the most advanced and game-changing trainers that redefine the US Navy's capabilities. As part of our dynamic, collaborative, and ethical team, your role will be pivotal, leaving a lasting impact on the US Navy's operations.

This position isn't just about a jobit's about embarking on a career that continuously challenges and fulfills you. Working with state-of-the-art technology, as a Software Engineer, youll shape various naval training and simulation systems like CIAT - Combined Integrated Air and Missile Defense (IAMD) and Anti-Submarine Warfare (ASW) Trainer. You will develop real-time software under Linux and programmed in C++, Java and Python. Imagine being at the forefront of systems requirements analysis, contributing to trade studies that assess the latest hardware innovations.

Your expertise will help shape the trajectory of our team and our exceptional products. With potential travel to partner organizations or trainer sites across strategic locations like Pearl Harbor, San Diego, Norfolk, and more, this role offers a dynamic blend of challenges and experiences.

Choosing Leidos means unlocking a world of unique benefits and opportunities:

• Be part of the longest-running Leidos contract, spanning over 30 years, ensuring stability with extensive career mobility, fostering your professional growth.

• As an added benefit, any hours worked beyond the standard 40 hour work week is compensated at straight time rates

• Enjoy flexible hours tailored to your needs, whether starting early at 5 am or wrapping up late at 4 am.

• Engage in meaningful work on cutting-edge systems that make an impact, with many systems going into production within six months.

At Leidos, we empower our employees to drive innovation and make a tangible difference. Join us for a career that transcends boundaries and propels you towards professional excellence.

Required Education

• B.S./B.A. in Computer Science, or equivalent experience.

Required Experience

• You must have U.S. Citizenship and be eligible to obtain a U.S. Government granted security clearance. Employment is contingent on receiving an interim Secret security clearance.

• You must have 4+ years of experience developing software in C++, Java, or related languages.

• You must have a strong working knowledge of tools and libraries available for the Linux operating system, and be familiar with sound software engineering principles and methodologies.

• You will be exposed to many different attributes of professional software development and thus will need an ability to learn and apply new skills, and also share your own expertise with the team to improve our development capabilities.

Desired Experience

• Advanced degree, continuing education in computer science, and/or advanced math/physics background.

• Cluster computing, signal processing, Kubernetes, numerical simulation, multi-threading, GPUs, data visualization, underwater acoustic modeling, familiarity with sonar systems.

• Experience with Agile development and Atlassian products.

• Experience using DevSecOps methods (Continuous Integration, Continuous Delivery) and tools (Gitlab, Conan, Jenkins, Docker).

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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Original Posting Date:

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.