Bring the Cloud to the Edge—anywhere, anytime . Join us to engineer the future of secure, portable, and resilient compute for missions that can’t wait. As a n Edge Computing Embedded Engineer, you’ll design and deploy advanced systems that thrive in the harshest environments—from tactical edge to disconnected operations.
You’ll integrate CPUs, GPUs, TPUs, and FPGAs into rugged platforms, optimize AI models for real-time inference, and harden solutions against cyber and physical threats. If you’re passionate about accelerators, RTOS, and zero-trust security, and want to make an impact where it matters most, this is your chance. Your work will power critical decisions for the Department of War.
Work with us to expand your tech skills and make a meaningful difference.
Join us. The world can’t wait.
2+ years of experience in software development and with embedded systems
2+ years of experience integrating CPUs, GPUs, TPUs, or FPGAs into edge pipelines
Experience with zero-trust designs for isolation, hardening, and least privileged run-times, and designing packaged edge stacks that sync to the cloud but operate independently at the tactical edge
Experience with programming languages, such as C or C++, Rust, and Python
Experience with containerization technologies, micro-service network architecture, and CI/CD tools, including GitLab
Experience with Agile methodology, extreme programming, software engineering, product management, and software products
Experience in creating solutions to complex problems within a collaborative, cross-functional team
Knowledge of the broader ecosystem and technical environment of software programming
Ability to obtain a Secret clearance
Bachelor’s degree in Computer Science, Computer Engineering, or Electrical Engineering
2+ years of experience with embedded software languages and products, such as Embedded Platforms, FreeRTOS, VxWorks, Red Hat Enterprise Linux, SELinux, Ansible, Bash scripting, Make, and XML technologies
Experience deploying optimized AI models to embedded targets
Experience with quantization, pruning, and model telemetry at the edge
Top Secret clearance
AWS IoT Core or Greengrass Certification, or Solutions Architect Certification
NVIDIA Certified Professional Certification
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
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 $86,900.00 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.
