Computer Vision Software Engineer

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 application process, 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. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific 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. #J-18808-Ljbffr Dormont Manufacturing Co