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Remote Embedded Ai Jobs in Colorado (NOW HIRING)

... and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the ... Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for an ...

Software Engineer

Aurora, CO · On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0241258 Location: Aurora,CO,US Share job via: Share Software Engineer ... As an embedded software engineer, you know how to create and maintain crucial pieces of software.

... PSL), embedded within our mergers and acquisitions practice group. This is a high-impact, non ... This position is available on a hybrid or fully remote basis. About the Role As PSL, you will serve ...

Data Engineer, Principal

Denver, CO · On-site +1

$170K - $190K/yr

... AI deployment across core health plan operations. This role reports to a Senior Manager, Data ... Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD ...

Senior Manager, Data Security

Denver, CO · On-site +1

$117K - $161K/yr

This role is remote-friendly within North America. For those who prefer in-office or hybrid work ... Drive active adoption of the latest AI-assisted engineering and security tools across the team ...

Workday Absence & HCM Senior Analyst

Denver, CO · Remote

$93K - $118K/yr

That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology ... Responsible for configuring business processes including notifications, condition rules, embedded ...

Software Architect

Englewood, CO · On-site +1

$205K - $307K/yr

Experience with application of AI tooling to aid the development life cycle * 5G Experience a plus ... building embedded systems software and with a Master's degree in Computer Science or Computer ...

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 the most commonly searched types of Embedded Ai jobs in Colorado? The most popular types of Embedded Ai jobs in Colorado are:
What are popular job titles related to Remote Embedded Ai jobs in Colorado? For Remote Embedded Ai jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Remote Embedded Ai jobs? Cities in Colorado with the most Remote Embedded Ai job openings:

Embedded Software Engineer

Booz Allen Hamilton, Inc.

Colorado Springs, CO • On-site, Remote

$86K - $198K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 24 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:
Hybrid
Job Number:
R0245751
Location:
Colorado Springs,CO,US
Share job via:
Share
Embedded Software Engineer
The Opportunity:
Are you excited to apply RF quantum sensing technologies to critical national security missions? Your expertise in RF digital signal processing software development will be critical to integrate, test, and evaluate RF quantum sensing technologies. Apply core principles, theories, and concepts to provide effective solutions for practical applications. Solve complex technical problems and deliver innovative solutions. Operate with substantial independence and provide oversight or mentorship for your team's technical competencies. Collaborate effectively with minimal supervision, overseeing and mentoring junior employees as needed.
This is a hands-on engineering role focused on embedded software, hardware-software integration, and system reliability. You will work across microcontrollers, device communications, motorized subsystems, sensors, and control logic that directly affect RF and quantum sensing system performance in production. The right candidate is comfortable debugging at every layer, from firmware behavior and electrical interfaces to system-level interactions in deployed hardware. This position is located in Colorado Springs, CO and requires laboratory work. This position requires the ability to travel up to 25% of the time.
Join us. The world can't wait.
You Have:
  • 7+ years of experience with software development languages, including Python, C, or C++
  • Experience with the design, development, and testing of real-time software for microcontrollers interfacing with specialized hardware
  • Experience with digital signal processing (DSP) algorithms and RF theory, including building the front and back end of a spectrum analyzer
  • Experience using Agile processes and tools, including Jira or Confluence, and using version control, including GitHub
  • Experience using Windows and Linux systems; experience porting software from Windows to Linux, including compiling and cross-compiling libraries as needed
  • Experience developing software and firmware for embedded systems, such as SCPI, Ethernet, and Serial integration
  • Ability to work in a team environment to brainstorm and innovate new ideas
  • Ability to travel up to 25% of the time
  • Ability to obtain a TS/SCI clearance
  • Bachelor's degree in a STEM field

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 $86,800.00 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