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Remote Embedded Ai Jobs in Washington (NOW HIRING)

CNO Developer

Annapolis, MD · On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0226193 Location: Annapolis Junction,MD,US Share job via: Share CNO ... As a computer network operations (CNO) specialist, you know that embedded and application ...

Autonomy SME, Lead

Washington, DC · On-site +1

$116K - $152K/yr

Optimize AI models for deployment on edge compute platforms such as GPU, TPU, and embedded systems ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Ensure that all AI scripts and programs are fully executable on postal-issued laptops within ... and embedded security validation. * Deep knowledge of cloud security services and best practices ...

We build Altra, an AI-powered drone software platform, and HX-2, our autonomous drone. We are ... Experience with constrained or embedded platforms * Familiarity with Nix or NixOS for reproducible ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

... embedded in sprints * Experience with AI governance processes, including AI use case tracking ... This compensation range is specific to a remote role and takes into account the wide range of ...

Showing results 21-40

Remote Embedded Ai information

What is a remote embedded AI engineer?

A Remote Embedded AI engineer is a professional who develops and integrates artificial intelligence (AI) algorithms into embedded systems, such as IoT devices, sensors, or smart appliances, while working from a remote location. Their role involves optimizing AI models to run efficiently on hardware with limited resources, ensuring reliable performance and low power consumption. These engineers typically collaborate with cross-functional teams to deliver intelligent, connected products, leveraging skills in machine learning, software development, and embedded hardware. Working remotely allows them to contribute to global projects without being tied to a specific office location.

What is the difference between Remote Embedded Ai vs Remote Machine Learning Engineer?

AspectRemote Embedded AiRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in Computer Science, Electrical Engineering, or related fields; experience with embedded systemsBachelor's or higher in Computer Science, Data Science, or related fields; strong programming and statistical skills
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsCloud platforms, data centers, software development environments
Industry UsageConsumer electronics, automotive, industrial IoTTech companies, finance, healthcare, research
Common Search/ComparisonYesNo

Remote Embedded Ai professionals focus on developing AI algorithms for embedded hardware and real-time systems, often working with IoT devices and specialized hardware. In contrast, Remote Machine Learning Engineers primarily develop models in cloud environments for data analysis and prediction. While both roles require strong programming skills, Embedded Ai emphasizes hardware integration, whereas Machine Learning Engineers focus on scalable model deployment.

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

Remote Embedded AI Engineers often encounter challenges such as limited access to hardware for testing, asynchronous communication with distributed teams, and integrating AI models within resource-constrained embedded systems. Overcoming these challenges involves utilizing remote debugging tools, setting up robust simulation environments, and maintaining clear, regular communication with team members. Collaboration platforms and thorough documentation help ensure smooth coordination, while staying updated on best practices in embedded AI can address technical limitations.

What are the key skills and qualifications needed to thrive as a remote embedded AI engineer?

To thrive as a Remote Embedded AI Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++, Python, or TensorFlow Lite, often supported by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), edge AI development platforms, and version control tools such as Git is typically required. Strong problem-solving skills, effective remote communication, and self-motivation help you excel in collaborative yet independent work environments. These competencies are crucial for building efficient, innovative AI solutions on hardware platforms while ensuring seamless teamwork across distributed teams.
What are popular job titles related to Remote Embedded Ai jobs in Washington? For Remote Embedded Ai jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Remote Embedded Ai jobs? Cities in Washington with the most Remote Embedded Ai job openings:

CNO Developer

Booz Allen Hamilton, Inc.

Annapolis, MD • On-site, Remote

$86K - $198K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 28 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:
R0226193
Location:
Annapolis Junction,MD,US
Share job via:
Share
CNO Developer
The Opportunity:
As a computer network operations (CNO) specialist, you know that embedded and application developers, reverse engineers, and vulnerability analysts all play key roles in the CNO capability development life cycle. We're looking for someone like you to flex your problem-solving prowess in a rapidly evolving systems security research and development environment.
As a senior CNO capability development specialist on our team, you'll support full project life cycles. Guiding an Agile team of professionals, you'll manage reverse engineering and vulnerability analyses of various software problems. You'll inform operational parameters for complex systems and leverage artificial intelligence and machine learning to influence the delivery of your work. Using your network operations expertise, you'll determine what the art of the possible is and what can be done-and then you'll bring it to life for your clients.
Help us combat the most advanced adversaries and defend national security.
Join us. The world can't wait.
You Have:
  • 6+ years of experience in programming with object-oriented programming languages
  • 4+ years of experience with developing Windows applications using Visual Studio or .NET environments or developing UNIX applications using make files or a build environment
  • Experience with developing complex programs using C, C#, C++, or Java
  • Experience with implementing software life cycle management requirements, including design, develop, test, validate, or deploy
  • TS/SCI clearance with a polygraph
  • Bachelor's degree in Computer Science and 1+ year of experience with embedded development, or 4+ years of experience with embedded development in lieu of a degree

Nice If You Have:
  • 3+ years of experience with computer programming in C, C++, Python, Assembly, or PerlScript
  • 2+ years of experience with computer engineering, computer science, electronic and electrical engineering, or applied mathematics

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 with polygraph 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

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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