Embedded Software Engineer, Senior - Booz Allen Hamilton

The Opportunity:

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 an 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-t rus t 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 sof tware develop ment and with embedded systems
• 2+ years of experience integrating CPUs, GPUs, TPUs, or FPGAs into edge pipelines
• Experience with zero-t rus t 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++, Rus t, and Python
• Experience with containerization technologies, micro-service network architecture, and CI / CD tools, including Git Lab
• Experience with Agile met hodology, extreme programming, sof tware engineering, product management, and sof tware products
• Experience in creating solutions to complex problems within a collaborative, cross-functional team
• Knowledge of the broader ecosystem and technical environment of sof tware programming
• Ability to obtain a Secret clearance
• Bachelor’s degree in Computer Science, Computer Engineering, or Electrical Engineering

• 2+ years of experience with embedded sof tware 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 tele met ry at the edge
• Top Secret clearance
• AWS IoT Core or Green grass 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 .