Part Time Remote Embedded Software Jobs in Germantown, MD

Remote Work:
Hybrid
Job Number:
R0244218
Location:
Bethesda,MD,US
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Scientific Software Engineer
The Opportunity:
As a back-end developer, you know that a good site or system needs the right combination of clean code, APIs, analytics, and infrastructure to develop a user-focused solution. We're looking for an experienced back-end developer with the software engineering skills it takes to identify potential risks, contribute to solution development, and create efficient and effective systems for our clients.
As a back-end developer at Booz Allen, you'll use the latest architectural approaches and open-source frameworks and tools to deliver solutions. Using your software engineering experience, you'll work with the development team to create custom tools, systems, and sites with consistent performance and scalability.
In this role, you'll provide code management support for the different applications, develop regression testing protocols, ensure that the applications can build and run all supported tests on all supported platforms, maintain up to date documentation, develop and support release protocols, support hierarchical system development of the applications, and triage, investigate, and resolve bugs reported to the supported applications. You'll make a mission-forward impact as you further your skillset and career. Work with us as we shape systems for the better.
Join us. The world can't wait.
You Have:

• 5+ years of experience implementing, maintaining, and supporting Agile software development and scientific DevOps workflows to modernize complex modeling or computational systems, including operational support for the weather forecasting applications
• 5+ years of experience in software development using Python, C, C++, Fortran, shell scripting, or HPC programming environments such as MPI, OpenMP, or hybrid parallelization
• Experience with Agile methodology, scientific software engineering, product development, workflow automation, and code management in large-scale modeling applications
• Experience developing and maintaining backend computational components, including data assimilation workflows, model coupling systems, performance benchmarking, HPC portability, and optimization for enterprise-scale scientific applications
• Experience designing solutions to complex computational or modeling problems within collaborative, cross-functional scientific and engineering teams
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor's degree or 8+ years of software engineering experience in lieu of a degree

Nice If You Have:

• Experience with Python, Fortran, C, C++, containerization such as Docker or Singularity, CI/CD pipelines such as GitHub Actions or GitLab CI/CD, and cross-platform HPC or cloud workflows
• Experience writing, enhancing, or optimizing source code for scientific applications, numerical solvers, or coupled Earth-system models
• Experience gathering technical requirements, supporting workflow integration, and automating multi-step systems such as UFS, HYCOM, MOM6, or JEDI-based applications
• Experience using automated testing tools, scientific verification methods such as MMS, or performance-profiling utilities to support robust system development
• Master's degree in Engineering, Computer Science, Computational Modeling, or a related field preferred; Doctorate degree in Engineering, Computer Science, Computational Modeling, or a related field a plus

Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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