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Remote Embedded Ai Jobs in Washington (NOW HIRING)

Senior AI Software Engineer

Washington, DC ยท On-site +1

$180K - $210K/yr

Lead software integration across embedded Linux systems, containerized services, edge compute ... Hybrid or Remote with limited travel Benefits: Expression offers competitive salaries and benefits ...

AI Productivity & Power BI Lead

Washington, DC ยท Remote

$136K - $202K/yr

Remote U.S. JOB STATUS: Full-time CLEARANCE: Secret (Ability to Obtain/Maintain) TRAVEL: As Needed ... Prior experience embedded with executive teams and comfort presenting at the board level.

AI/ML Engineer

Washington, DC ยท On-site +1

$130K - $170K/yr

... embedded processors to workstation-class systems. * Implement Retrieval-Augmented Generation (RAG ... Hybrid or Remote with limited travel Benefits: Expression offers competitive salaries and benefits ...

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 ...

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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, and why are they important?

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 job categories do people searching Remote Embedded Ai jobs in Washington look for? The top searched job categories for Remote Embedded Ai jobs in Washington are:
What cities in Washington are hiring for Remote Embedded Ai jobs? Cities in Washington with the most Remote Embedded Ai job openings:
Embedded Software Application Engineer

Embedded Software Application Engineer

TCOM, L.P.

Columbia, MD โ€ข On-site, Remote

$93K - $140K/yr

Full-time

Medical, Retirement, PTO

Posted 10 days ago


Job description

Description:

We build mission-critical software for tethered aerostat systems, where reliability and real-world performance matter. Our systems operate in demanding environments and interface directly with flight hardware. TCOM is seeking an Embedded Software Application Engineer to design and develop software that runs on our airborne and ground-based systems.

This role focuses on building robust, maintainable embedded software applications that integrate closely with hardware and support real-time telemetry, control systems, and mission operations. You will contribute to the development of software across the stackโ€”from low-level hardware interfaces to higher-level application logicโ€”ensuring systems perform reliably in the field.

You will work closely with electrical, systems, and software engineers to deliver high-quality embedded solutions and improve the overall reliability and maintainability of our systems.

What Youโ€™ll Do:

  • Design and implement embedded software applications for near-real-time systems
  • Develop and maintain drivers, interfaces, and control logic for sensors and onboard systems
  • Contribute to system architecture and technical design for embedded features
  • Write efficient, reliable, and maintainable code in moderately resource-constrained environments
  • Debug and troubleshoot issues across hardware and software boundaries
  • Participate in integration, testing, and validation of embedded systems
  • Identify and address performance, reliability, and maintainability challenges
  • Participate in code reviews and provide constructive feedback to peers

What Weโ€™re Looking For:

You are an experienced embedded engineer who can independently deliver complex functionality in real-world systems.

You have contributed to the design and implementation of embedded software and understand the tradeoffs between performance, reliability, and hardware constraints.

You are comfortable working close to the hardware.

You enjoy solving challenging problems that span software and hardware and collaborating across disciplines.

You are pragmatic, detail-oriented, and focused on building systems that work reliably in production environments.

You can write software without the assistance of AI but are open to using it to enhance your toolset.

Education & Experience:

  • Bachelorโ€™s degree in software engineering, computer engineering, electrical engineering, or a related field, or equivalent experience
  • Typically, 5+ years of professional experience in embedded software development

Preferred Experience:

  • C/C++ for embedded systems
  • Linux OS
  • Hardware and data interfaces (E.g., SPI, I2C, UART, CAN, ModBus, RS-232/422/485, Ethernet)
  • Working with sensors, radios, or communication systems
  • Experience with high-reliability or mission-critical systems

How We Work:

We are not a startup, but we operate with ownership and technical rigor.

We are building serious aerospace systems, and we expect strong engineering discipline.

Strong preference for onsite collaboration. Hybrid may be considered. Remote candidates will not be prioritized.

Physical Requirements & Working Conditions:

  • Physical Requirements: Ability to sit, stand, walk, bend, and reach. Reasonable accommodation may be provided for individuals with disabilities.
  • Working Conditions: Primarily in a standard office environment, with occasional exposure to labs and production areas, including noise, fumes, moving machinery, and varying temperatures. Occasional travel to field sites within the United States or overseas may be required to support system deployment, integration, testing, or troubleshooting activities.

In compliance with state and local laws, the salary range for this role is $93,000 - $140,000. The range provided is a general guideline and good faith estimate representative of all experience levels but is not a guarantee of compensation or salary. TCOM considers several factors when extending an offer including, but not limited to, the scope and responsibilities of the position, a candidateโ€™s experience, education/training, key skills, internal equity, and current market conditions. Employees may be eligible for a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results.

TCOM offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts/HSAs, EAP, tuition reimbursement, parental leave, paid time off (PTO), and company-paid holidays. The specific programs, options and eligibility may vary depending on date of hire, classification, and schedule type.ย 


TCOM logo

About TCOM

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

201 - 500 Employees

Headquarters location

Columbia, MD, US

Year founded

1971

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