Computer Vision Software Engineer at Booz Allen – Dayton | Jobyssey

Computer Vision Software Engineer

The Opportunity:

As a software developer, you know that good software is more than a nice-looking interface and data. You need the right combination of clean code, APIs, analytics, and infrastructure to help build a user-oriented solution. We’re looking for a software developer like you to develop efficient and effective software, from vision to production-ready system, in an exciting, agile environment.

As a software developer at Booz Allen, you’ll use the latest architectural approaches and open-source frameworks and resources to overcome your clients’ most difficult challenges. You’ll use your passion to master new tools and techniques while helping to identify and implement system improvements. You’ll collaborate with your team as you code and deliver solutions that support the current architecture and operating environment, as well as support future functionality and enhancements.

Work with us to develop systems that create change for the better.

Join us. The world can’t wait.

You Have:

3+ years of experience developing algorithms to extract, track, and analyze features in imagery
Experience with programming languages such as Python, MATLAB, C, and C++
Experience creating and testing modules and components for compliance with design specifications
Experience with containerization solutions such as Podman or Docker
Experience with workflows, web parts, site maintenance, and APIs
Ability to participate in design and code reviews and work effectively with designers, backend developers, and product managers
Ability to create solutions within a collaborative, cross-functional team
Active TS/SCI clearance; willingness to take a polygraph exam
Bachelor’s degree in a STEM field

Nice If You Have:

Experience working in an Agile environment
Experience with machine learning algorithms and using Python libraries, including PyTorch or OpenCV
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
Experience working in a microservices or distributed application environment
Experience with Kubernetes for scalable sensor deployment and management, including in proliferated systems
Knowledge of source control such as GitLab
Knowledge of DevOps continuous integration and continuous deployment
Knowledge of relational databases (RDMS), NoSQL, columnar, and graph data stores and structured and unstructured data formats

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

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 $69,300.00 to $158,000.00 (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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