Modelling & Simulation (Algorithm) Software Engineer

Description

Are you the type of computer scientist that believes that if you can imagine it, you can build it in software? Do you enjoy math, and working in the digital realm of software and creating algorithms that manipulate data and provide impactful solutions? Do you want to test how far your imagination can take you?

If so, we are looking for you, our nextModelling & Simulation (Algorithm) Software Engineer to work inSan Diego, CAas part of a small team to explore and create new Modelling and Simulation (M&S) software and algorithms at the technological foundation of our business. From our Space Sensors Engineering Design office in San Diego, California, Leidos provides responsive, cost-effective infrared (IR) Payloads that are hosted on satellites in earth orbit. This unique opportunity will allow you to support space programs, specializing in the design and prototyping of next generation software for future space missions. The selected applicant will find intellectually stimulating work that launches their scientific computing career in the space domain. The ideal candidate must be a self-starter, and will thrive in a learning environment that encourages leadership and technical growth.

Are you ready to join a nimble team dedicated to a mission? Begin your flourishing and meaningful career - share your resume with us today!

Primary Responsibilities:

The Modelling & Simulation (Algorithm) Software Engineer will work in a small team environment, developing portions of the M&S framework, with a primary focus on algorithm development for mission data processing. Further, this software engineer will build test scripts for the developed algorithms, and will support transfer of the algorithms to the program development teams for implementation and use on future mission payloads.

Additional Responsibilities:

• Work from requirements and/or algorithm designs / concepts to develop software modules for M&S frameworks, M&S tools, and mission data processing algorithms.
• Perform testing of developed software modules and maintains configuration of the source code, documentation, and test configurations.
• Perform all aspects of the software development lifecycle including design, coding, and automated testing.
• Implement Agile development tools such as Jira, Confluence, and Bitbucket/Git to manage work and collaborate with your teams.
• Design, develop, troubleshoot, and debug software source code using modern software scripting languages and tools.
• Provide / author technical documentation, participate in design, code, and software peer reviews.

Basic Qualifications

• Bachelor's Degree in Computer Science, Electrical / Computer Engineering, Math, or Physics from an ABET-accredited university.
• Minimum two years of experience programming in scripting languages such as Matlab and Python.
• Minimum two semesters of data structures / algorithms coursework.
• Experience transforming algorithm concepts and/or designs into functioning software.
• Experience debugging software and troubleshooting software related issues.
• Must be able to obtain and maintain a DoD SECRET clearance. (U.S. Citizenship is required)
• Ability and willingness to work onsite in San Diego, California.

Preferred Qualifications

• Master's degree in a relevant technology or engineering field.
• Experience on Linux systems.
• Familiarity with software version control tools (i.e., Git, GitLab, etc.).
• Experience in adaptive signal processing and applied mathematics.
• Prior internship experience.

LeidosCollege

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.

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.