Explore 3 embedded system developer jobs from 1 hiring companies in Honolulu, HI, US. Filter by remote, salary, experience, and company, then open any listing to apply.

embedded-system-developer

Embedded System Developer

Kalihi Valley

Kaimukī

Aliamanu / Salt Lake / Foster Village

Joint Base Pearl Harbor Hickam

Palolo

Kaneohe

Niu Valley

East Honolulu

Pearl City

Kailua

Hawai‘i Kai

Waipahu

Makakilo / Kapolei / Honokai Hale

Embedded System Developer Jobs

Booz Allen Hamilton

Booz Allen

Onsite

Hybrid

Embedded System Developer, Mid<div><div>The Opportunity:   </div><div>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-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. </div><div>Work with us to expand your tech skills and make a meaningful difference. </div><div>Join us. The world can’t wait. </div><div>  </div><div>You Have: </div><div><ul><li>2&#43; years of experience in software development and with embedded systems </li><li>2&#43; years of experience integrating CPUs, GPUs, TPUs, or FPGAs into edge pipelines </li><li>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</li><li>Experience with programming languages, such as C or C&#43;&#43;, Rust, and Python </li><li>Experience with containerization technologies, micro-service network architecture, and CI/CD tools, including GitLab </li><li>Experience with Agile methodology, extreme programming, software engineering, product management, and software products </li><li>Experience in creating solutions to complex problems within a collaborative, cross-functional team   </li><li>Knowledge of the broader ecosystem and technical environment of software programming </li><li>Ability to obtain a Secret clearance </li><li>Bachelor’s degree in Computer Science, Computer Engineering, or Electrical Engineering </li></ul></div></div><div><div>  </div><div>Nice If You Have: </div><div><ul><li>2&#43; 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</li><li>Experience deploying optimized AI models to embedded targets  </li><li>Experience with quantization, pruning, and model telemetry at the edge  </li><li>Top Secret clearance </li><li>AWS IoT Core or Greengrass Certification, or Solutions Architect Certification</li><li>NVIDIA Certified Professional Certification </li></ul></div><div>Clearance: </div><div>Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.</div><div></div></div>CompensationAt 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 $77,600.00 to $176,000.00 (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 StatementAs 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.<ul><li>If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.</li><li>If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.</li></ul>Commitment to Non-DiscriminationAll 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.

Embedded System Developer, Mid

2+ years in software development and embedded systems; experience with CPUs/GPUs/TPUs/FPGA; zero-trust security; C/C++, Rust, Python; containers/CI-CD; Agile; teamwork; ability to obtain Secret clearance.

Embedded System Developer, MidThe 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-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. 

  

You Have: 

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 

  

Nice If You Have: 

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 

Clearance: 

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 $77,600.00 to $176,000.00 (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.

2+ years in embedded systems; experience integrating CPUs/GPUs/TPUs/FPGA into edge pipelines; zero-trust security; C/C++, Rust, Python; CI/CD; Agile; Secret clearance; BS in CS/CE/EE.

Autonomy EngineerThe Opportunity:  
As an Autonomy Engineer working in unmanned aircraft systems (UAS), you will design, develop, and deploy machine learning models that power intelligent behaviors on UAS. You will work with advanced autonomy frameworks, including platforms such as Shield AI’s Hivemind to build resilient navigation, perception, targeting, and collaborative autonomy capabilities for the Department of Defense. 

You will operate at the cutting edge of edge AI, computer vision, reinforcement learning, and real-time embedded systems, helping the military transition from human-in-the-loop control to AI-assisted and autonomous mission execution.  

What You’ll Work On:  
Design and train machine learning models for perception, object detection, tracking, and classification. 

Develop reinforcement learning and autonomy algorithms for navigation and mission execution. 

Implement sensor fusion models combining EO/IR, LiDAR, GPS-denied navigation, and telemetry data. 

Optimize AI models for deployment on edge compute platforms such as GPU, TPU, and embedded systems. 

Develop and integrate autonomy behaviors within platforms such as Hivemind. 

Implement mission planning logic and adaptive decision-making algorithms. 

Enable collaborative autonomy between multiple UAS platforms. 

Build simulation-based training pipelines for autonomy validation. 

Deploy containerized AI models to airborne and ground edge nodes. 

Optimize inference latency and resource utilization. 

Conduct hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing. 

Develop secure software pipelines aligned to DoD cybersecurity standards. 

Integrate AI outputs into tactical networks and mission command systems. 

Implement CI/CD pipelines for rapid model iteration and field updates. 

Join us. The world can’t wait. 

You Have: 
3+ years of experience in robotics engineering, focusing on AI and ML systems  

Experience with Python and C++  

Experience with deep learning frameworks such as PyTorch, TensorFlow, and ONNX 

Experience building and deploying AI models on edge hardware such as NVIDIA Jetson, GPUs, and embedded platforms 

Experience with robotics middleware such as ROS or ROS2 

Experience with computer vision or autonomous navigation systems 

Ability to obtain a Secret clearance  

Bachelor's degree 

Nice If You Have:   
Experience working in military exercises and war games

Ability to support flight testing and operational evaluations

Master’s degree  

ML, AI, or Solution Architecture Certification

Clearance:
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 $99,000.00 to $225,000.00 (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.

Autonomy Engineer

3+ years in robotics engineering focusing on AI/ML for autonomous systems; Python and C++; deep learning (PyTorch, TensorFlow, ONNX); edge AI hardware (NVIDIA Jetson, GPUs, embedded); ROS/ROS2; Secret clearance eligibility; Bachelor's degree.

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