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Remote Embedded Jobs in Baltimore, MD (NOW HIRING)

Primary Care Physician

Nottingham, MD · On-site +1

$265K - $320K/yr

... embedded AI-technology, and building out our core clinical model. You will practice as part of a ... Salary Range: $265,000 - $320,000/ year #LI-Remote The pay range listed for this position is the ...

About Allovue Allovue believes every student deserves access to the resources they need to be successful in school. Our education resource planning software empowers K-12 administrators at every ...

Software Engineer

Annapolis, MD · On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0243588 Location: Annapolis Junction,MD,US Share job via: Share Software Engineer The Opportunity: As a full stack developer, you can resolve a problem with a complete ...

Remote Type : Full Time : We are seeking a motivated Junior Software Engineer to join our team in the DMV area. This role is ideal for a recent Computer Science graduate eager to apply their ...

AI Software Engineer

Baltimore, MD · Remote

$100K - $135K/yr

This is a fully remote, full-time position offering the opportunity to work on emerging AI technologies that support mission-critical public sector initiatives. Location: This is a remote position.

Showing results 41-60

Remote Embedded information

See Baltimore, MD salary details

$69.6K

$152.4K

$172.9K

How much do remote embedded jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote embedded in Baltimore, MD is $152,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,700.00 and $171,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Embedded Engineer, you need a solid background in embedded systems design, programming in C/C++, and a relevant degree in electrical engineering, computer engineering, or a related field. Familiarity with hardware debugging tools, version control systems like Git, and real-time operating systems (RTOS) is typically required. Strong problem-solving abilities, effective communication skills, and the ability to work independently are essential soft skills for remote collaboration. These skills and qualities are crucial for developing reliable embedded solutions and ensuring seamless teamwork across distributed environments.

What is the difference between Remote Embedded vs Remote Firmware Developer?

AspectRemote EmbeddedRemote Firmware Developer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related field; experience with embedded systemsSimilar credentials, often with additional certifications in firmware development or microcontroller programming
Work EnvironmentDesigning and testing embedded systems, often involving hardware integrationDeveloping low-level firmware for microcontrollers or hardware devices
Industry UsageElectronics, automotive, IoT, consumer devicesConsumer electronics, industrial equipment, IoT devices
Search & Comparison IntentLooking for roles involving embedded system design and softwareFocusing on firmware coding and microcontroller programming

Remote Embedded roles typically involve designing and testing embedded systems that integrate hardware and software, while Remote Firmware Developers focus specifically on writing low-level firmware for microcontrollers. Both roles require similar credentials and are used across industries like electronics and IoT, but their core responsibilities differ in hardware interaction versus firmware coding.

What are remote embedded jobs?

Remote embedded jobs involve designing, developing, and maintaining embedded systems software or firmware, while working from a location outside of a traditional office—often from home. These roles typically require expertise in programming languages such as C or C++ and familiarity with hardware interfaces, microcontrollers, and real-time operating systems. Remote embedded engineers collaborate with teams using online tools and may work on products ranging from consumer electronics to automotive or industrial devices. The remote aspect allows for flexible work arrangements and access to a broader range of job opportunities across the globe.

What are remote embedded jobs?

Remote embedded jobs include positions within the software and development industry that focus on engineering, developing, and maintaining software for embedded systems and networks. Common titles include “remote embedded software engineer” and “remote embedded developer.” Embedded software has a specific task related to the operations of a hardware system. As an embedded software engineer who works from home, your duties include coding software to perform a particular function, such as the control of a piece of machinery or the collection of data from a system. As a remote embedded software developer, you perform a similar job and sometimes help clients customize embedded software. You may also work as a remote quality assurance engineer where your responsibilities involve testing existing software.

How does a remote embedded engineer typically collaborate with cross-functional teams while working offsite?

Remote Embedded Engineers often work closely with hardware, software, and quality assurance teams, even when not physically present. Collaboration is facilitated through regular video meetings, shared documentation, and version control systems like Git. Effective communication is crucial, as tasks such as debugging hardware remotely or reviewing code require clear coordination. Many teams use project management tools to track progress and ensure alignment, allowing remote engineers to contribute seamlessly to product development and problem-solving.
What are the most commonly searched types of Embedded jobs in Baltimore, MD? The most popular types of Embedded jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Remote Embedded jobs? Cities near Baltimore, MD with the most Remote Embedded job openings:
Infographic showing various Remote Embedded job openings in Baltimore, MD as of August 2026, with employment types broken down into 2% Internship, 90% Full Time, 5% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $152,408 per year, or $73.3 per hour.

Divisional Artificial Intelligence (AI) Adoption Manager

Tate Access Floors Inc

Columbia, MD • Remote

Full-time

Re-posted 3 days ago


Job description

Job Type: Exempt

Position: 1

Duration of role: Permanent

Reporting to: Divisional Head of Digital, AI and Insights

Location: Remote (United States)

About Us

Kingspan Data Solutions originated in the traditional commercial office sector for raised access flooring and more recently, are supporting the accelerated growth in the data center industry. As one of the leading raised access flooring manufacturer, supplier and installers across US, Europe, Middle East and Australia, we have been involved in the delivery of a wide range of flooring solutions for some of the most prestigious buildings worldwide.

Our Tate brand of data center products has enabled us to support the leading technology and communication brands who rely on our team who are smart working, agile and offer solutions like none other. We continue to develop innovative products for use in commercial buildings and data centers, supported by our leading engineering, technical and specification team. Our commitment to sustainability is a key focus area for our business and one we continue to evolve as we grow and expand in line with our Planet Passionate Strategy. It’s an exciting time to join our business that is expanding at pace.

About the Role

We are seeking an experienced AI Adoption Manager (Divisional) to play a critical role in shaping how AI drives efficiency and transformation across the business. This role will act as the bridge between business and technology, identifying and prioritizing high-impact opportunities and translating them into scalable AI solutions delivered in partnership with engineering teams and 3rd party vendors.

The ideal candidate will bring a blend of hands-on AI experience, digital transformation expertise, and strong business acumen, with the ability to move seamlessly from problem definition through to delivery and adoption. You will be comfortable moving rapidly from idea to pilot, and from pilot to scaled deployment, ensuring momentum is maintained and value is realized quickly.

A key focus of the role is ensuring every initiative delivers measurable value and ROI, embedding AI into core workflows in a way that is practical, scalable, and aligned with business objectives.

What You’ll Do

AI Opportunity Identification & Pipeline Ownership

  • Work with functional leaders to surface high-value ideas and convert them into structured use cases.
  • Proactively identify opportunities to apply AI across business functions by analyzing workflows, inefficiencies, and manual effort.
  • Build and maintain a prioritized pipeline of AI initiatives based on impact, feasibility, and ROI.
  • Continuously generate new ideas by combining business insight with emerging AI capabilities

Business–Technology Translation

  • Act as the primary interface between business stakeholders and engineering teams.
  • Translate business problems into clear AI requirements, use cases, and solution briefs.
  • Partner closely with AI engineers and 3rd party vendors who design and deploy the solutions.
  • Ensure alignment between intended business outcomes and technical delivery.

Project Leadership & Delivery

  • Lead the end-to-end lifecycle of AI projects:
    • Use-case definition
    • Business case & ROI modelling
    • Requirements gathering
    • Pilot design and rollout
    • Deployment coordination with engineering
  • Own project governance
  • Ensure delivery is focused on business value not just implementation.

Measurement, ROI & Value Realization

  • Define success metrics upfront for every AI initiative (e.g. time saved, cost reduction, revenue uplift, accuracy improvements).
  • Build robust frameworks to measure:
    • Adoption and usage
    • Productivity gains
    • Financial impact / ROI
  • Track performance post-deployment and ensure benefits are realized and sustained.
  • Establish consistent reporting to demonstrate value and inform prioritization.
  • Continuously refine use cases based on performance data.

Adoption, Change & Business Enablement

  • Drive adoption of AI solutions through structured rollout, training, and engagement.
  • Identify change impacts and ensure solutions are embedded into daily workflows.
  • Develop playbooks, usage guidance, and best-practice frameworks.
  • Support teams to integrate AI into how they work — not as a bolt-on.

Experimentation & Continuous Improvement

  • Maintain a pipeline of pilots and rapid experiments with new AI tools and approaches.
  • Work with engineers and 3rd party vendors to test, validate, and scale solutions quickly.
  • Stay up to date on emerging AI technologies and assess practical business applications.
  • Ensure a balance between experimentation and measurable outcomes.

Solution Standardization & Global Rollout

  • Ensure solutions are documented, repeatable, and ready for deployment across regions.
  • Develop onboarding packs and training materials for scaling.
  • Maintain consistency while enabling regional adaptation.

Governance, AI Policy & IS Alignment

  • Ensure all AI initiatives are aligned to Group and Divisional AI governance, data policies, and IS standards from the outset.
  • Identify when IS engagement and approvals are required and plan accordingly.
  • Define data sensitivity, risk level, and compliance requirements at use-case stage.
  • Own coordination of IS engagement from a business and delivery perspective.

AI Steering Group

  • Own the end-to-end process for AI Steering Group submissions, including pilots and go-live approvals.
  • Define and coordinate all required inputs for decision-making, including:
    • Business case and ROI projections
    • Success metrics and measurement approach
    • Use-case definition and scope
    • Risk, governance, and compliance considerations
  • Consolidate inputs from engineering, IS, and business stakeholders into a clear, decision-ready pack.
  • Present AI initiatives to the Steering Group, clearly articulating:
    • Expected value and impact
    • Risks and mitigations
    • Readiness for pilot or scale
  • Own tracking of decisions, actions, and follow-ups from the Steering Group.
  • Ensure all initiatives meet approval after pilot and go-live.

Travel: This role requires up to 30-40% travel to our sites.

Additional Expectation

  • Remain compliant with the Code of Conduct and Policies which includes the Kingspan Group Compliance Policy.
  • Ensure that all duties related to product compliance are adhered to in accordance with the Product Compliance Policy, Laws, Regulations, and market demands.
  • Responsible for all tasks to achieve compliance goals and demands of the Compliance Management System.
  • Must raise concerns related to the Compliance Management System to their supervisor, manager, or any member of the Leadership Team, or through the confidential whistle blower service.

What You’ll Bring

  • Bachelor’s degree in Business, Information Technology, Computer Science, Engineering, or a related field.
  • 5+ years of experience in AI adoption, digital transformation, process improvement, automation, or technology implementation.
  • Proven ability to identify business opportunities and translate them into technology-driven solutions.
  • Experience leading cross-functional projects from concept through deployment and adoption.
  • Strong understanding of AI, Generative AI, automation, analytics, and emerging digital technologies.
  • Demonstrated success building business cases, defining KPIs, and measuring ROI.
  • Experience collaborating with business leaders, technical teams, and third-party vendors.
  • Strong project management, stakeholder management, and change management skills.
  • Excellent communication, presentation, and executive-facing skills.
  • Knowledge of data governance, information security, compliance, and responsible AI practices.
  • Willingness to travel up to 30–40% as required.

Preferred Qualifications

  • Certifications in AI, Project Management, Agile, Change Management, or Digital Transformation.
  • Experience in manufacturing, industrial products, engineering, construction, pharmaceuticals or data center environments.
  • Experience working in a global organization and managing external technology partners.

What You'll Get

  • Pay range: $140,000 USD to $160,000 USD. This role is eligible for a discretionary bonus.
  • Career Scope and Advancement: As we grow, new positions and career opportunities arise, offering accelerated paths for the right candidates, locally and globally.
  • World of Wellness Philosophy: We empower you to take charge of your health and well-being. You’ll have access to a wide range of medical, dental, and vision benefits, along with personalized guidance from a “Health Advocate.” We also offer other supplemental options, including 401k, legal, disability, and theft insurance, to ensure your financial wellness.
  • Corporate Social Responsibility: Through Planet Passionate we are determined to reduce our manufacturing carbon (CO2e) emissions to as close to zero as technically possible, together with halving carbon intensity in our primary supply chain. We are very involved in our community, and you will have ample opportunities to support us, in creating a better world.
  • Skills Development: Given the dynamic pace of our business and a strong collaborative environment, your new role will be diverse and multifaceted – allowing you to be more versatile and develop a broader skill set.
  • Mentorship and development: At Tate, we don’t believe in hierarchy, we work together as one team for one common goal. You will have access and exposure to our senior leaders and experts for learning in your role, and additionally mentorship for the future.
  • Culture: We have a great team culture, highly collaborative, supportive and social. Together we innovate, collaborate, take ownership and strive for excellence.

Stay connected with us on LinkedIn for insights into life at Tate. Join us in our mission to make a difference through exceptional solutions.

Tate Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics. We are committed to providing reasonable accommodations to qualified individuals with disabilities. Employment is contingent upon the successful completion of post-offer requirements, including a background check and drug screening, in accordance with company policy and applicable laws.