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Remote Embedded Software Jobs in Waipahu, HI (NOW HIRING)

AI Software Engineer, Senior

Honolulu, HI · On-site +1

$121K - $159K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0244309 Location: Honolulu,HI,US Share job via: Share AI Software Engineer, Senior The Opportunity: As an experienced software engineer, you know how to design, develop ...

Remote Embedded Software information

See Waipahu, HI salary details

$70K

$153.3K

$173.9K

How much do remote embedded software jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote embedded software in Waipahu, HI is $153,335.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $172,900.00 per year, depending on experience, location, and employer.

What is a remote embedded software engineer?

A remote embedded software engineer is a professional who designs, develops, tests, and maintains software that runs on embedded systems, such as microcontrollers or specialized hardware, while working from a location outside the traditional office environment. These engineers typically collaborate with hardware teams, write code for real-time or resource-constrained systems, and use remote tools to debug and deploy software. They may work in industries like automotive, medical devices, consumer electronics, or industrial automation. Remote embedded software engineers rely on communication and project management tools to coordinate with their teams and ensure product quality.

What are some common challenges faced by remote embedded software engineers, and how can they be addressed?

Remote embedded software engineers often face challenges such as limited access to physical hardware for testing, coordinating with hardware teams across locations, and ensuring clear communication about design specifications. To overcome these, teams typically use simulation tools, remote access labs, and detailed documentation. Regular virtual meetings and collaborative platforms also help maintain alignment and facilitate troubleshooting in distributed environments.

What are the key skills and qualifications needed to thrive as a remote embedded software engineer, and why are they important?

To thrive as a Remote Embedded Software Engineer, you need expertise in embedded systems programming (typically in C/C++), hardware interfacing, and a relevant degree in computer engineering or electrical engineering. Familiarity with development tools such as debuggers, version control systems (e.g., Git), and real-time operating systems (RTOS) is commonly required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in a distributed team environment. These skills ensure reliable software integration with hardware, efficient collaboration, and successful delivery of complex embedded solutions.

What is the difference between Remote Embedded Software vs Remote Firmware Engineer?

AspectRemote Embedded SoftwareRemote Firmware Engineer
Required CredentialsBachelor's in Computer Engineering, Electrical Engineering, or related; experience with embedded systemsBachelor's in Electrical Engineering, Computer Engineering, or related; experience with firmware development
Work EnvironmentDevelops software for embedded devices, often in hardware labs or remote setupsCreates low-level firmware for hardware components, typically in hardware labs or remote
Industry UsageAutomotive, IoT, consumer electronics, industrial systemsConsumer electronics, IoT, aerospace, automotive
Common Search/ComparisonYesYes

Remote Embedded Software and Remote Firmware Engineer roles both involve working on embedded systems, but Embedded Software focuses on higher-level software development, while Firmware Engineers work on low-level hardware control code. Both require similar credentials and are used across industries like automotive and IoT, often in remote or hybrid environments.

What are remote embedded software jobs?

Remote embedded software jobs include embedded software engineer positions. As a work from home embedded software engineer, you develop embedded software systems for a variety of computerized devices. Your responsibilities start with assessing your client’s needs. You then design and code the embedded software, troubleshoot your software systems, perform research and test actions on the software, and implement software updates whenever necessary. Other duties include maintaining the software programs, documenting solutions to issues, providing the necessary post-production support, and reviewing the implemented system to debug the embedded environment and interpret error reports.

What are popular job titles related to Remote Embedded Software jobs in Waipahu, HI?

For Remote Embedded Software jobs in Waipahu, HI, the most frequently searched job titles are:

What cities near Waipahu, HI are hiring for Remote Embedded Software jobs?

Cities near Waipahu, HI with the most Remote Embedded Software job openings:

Infographic showing various Remote Embedded Software job openings in Waipahu, HI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $153,335 per year, or $73.7 per hour.

AI Software Engineer, Senior

Booz Allen Hamilton, Inc.

Honolulu, HI • On-site, Remote

$121K - $159K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 2 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description


Remote Work:
No
Job Number:
R0244309
Location:
Honolulu,HI,US
Share job via:
Share
AI Software Engineer, Senior
The Opportunity:
As an experienced software engineer, you know how to design, develop, and deliver production AI applications that demonstrate the practical value of generative AI, large language models (LLMs), and autonomous workflows. You combine strong software engineering fundamentals with modern AI development practices to build reliable, scalable, and secure systems that solve real-world problems.
In this role, you'll design AI applications that leverage prompting, retrieval-augmented generation (RAG), agentic workflows, evaluation pipelines, and human-in-the-loop interactions to deliver measurable mission impact. You'll build modular, reusable AI capabilities that integrate multiple model providers and external tools while optimizing for performance, cost, observability, and safety.
You'll rapidly prototype and iterate using AI-assisted development tools, applying eval-driven development and continuous experimentation to validate solutions before deploying them into production.
Working alongside data engineers, data scientists, solution architects, and product owners, you'll help define the architecture and engineering practices behind mission-critical AI applications while collaborating with a multidisciplinary team to deliver impactful mission solutions.
What You'll Do:
  • Design and develop production AI applications that integrate foundation models, retrieval systems, external tools, and enterprise data sources.
  • Architect modular and reusable AI components for prompting, retrieval, orchestration, tool execution, memory, and evaluation.
  • Build AI applications that leverage structured outputs, embeddings, RAG, long-context reasoning, and agentic workflows where appropriate.
  • Develop data pipelines for ingesting, transforming, indexing, and refreshing structured and unstructured data used by AI applications.
  • Implement evaluation frameworks to measure correctness, robustness, safety, and mission outcomes using both automated and human evaluation techniques.
  • Optimize AI applications for latency, reliability, scalability, and operational cost through experimentation, benchmarking, and continuous improvement.
  • Apply asynchronous programming and event-driven design patterns to support long-running workflows and distributed AI applications.
  • Incorporate observability, monitoring, guardrails, access controls, and responsible AI practices throughout the application lifecycle.
  • Deploy AI services securely on AWS or equivalent cloud platforms using Docker, Kubernetes, serverless, or other cloud-native deployment patterns.
  • Apply modern software engineering practices, including automated testing, CI/CD, prompt and workflow versioning, and safe rollout of AI updates.
  • Leverage AI-assisted development tools to accelerate implementation while maintaining engineering rigor, maintainability, and code quality.
  • Collaborate with clients and cross-functional teams to identify high-value AI opportunities, rapidly prototype solutions, and transition successful concepts into production.
  • Present technical solutions to both technical and non-technical stakeholders.

Join us. The world can't wait.
You Have:
  • 3+ years of experience with software engineering in a professional work environment
  • 2+ years of experience developing AI or machine learning solutions in a professional environment
  • Experience building production AI applications using programming languages such as Python
  • Experience designing and implementing generative AI applications using large language models
  • Experience building retrieval-augmented generation (RAG) solutions and integrating AI systems with enterprise data
  • Experience with AI orchestration frameworks such as LangChain
  • Experience developing AI applications that interact with external tools, APIs, or enterprise systems, and evaluating and improving AI application quality through testing, experimentation, or benchmarking
  • Experience deploying cloud-native applications using cloud platforms such as AWS
  • Secret clearance
  • Bachelor's degree in Computer Science, Engineering, or a technology field

Nice If You Have:
  • Experience building AI applications that incorporate autonomous or agentic workflows
  • Experience with multimodal AI applications involving text, images, audio, or documents
  • Experience designing AI evaluation, observability, or safety frameworks
  • Experience deploying portable, edge, or offline-capable AI applications
  • Experience developing user interfaces that enable effective interaction with AI applications
  • Experience delivering technical solutions in client-facing environments
  • Experience using AI-assisted software development tools to improve engineering productivity
  • Master's degree in Computer Science, AI, or a related technical field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret 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 $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.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914