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Remote Embedded Software Jobs in Flower Mound, TX

AI Software Engineering Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Software Engineering Domain Experts to contribute their technical ...

New

Associate Software Engineer

Irving, TX · On-site +1

$50K - $101K/yr

... remote support features for our service organizations, and developing integrations with AI tools ... Support software development across mobile, web, desktop, and embedded platforms . * Assist with ...

Associate Software Engineer

Irving, TX · On-site +1

$50K - $101K/yr

... remote support features for our service organizations, and developing integrations with AI tools ... Support software development across mobile, web, desktop, and embedded platforms . * Assist with ...

Senior Principal Software Engineer

Plano, TX · Remote

$120K - $165K/yr

This position is a remote role that will be based in the United States with preference given to ... AI capabilities are deeply embedded across customer journeys * Teams adopt AI-first development ...

Senior Principal Software Engineer

Plano, TX · Remote

$120K - $165K/yr

This position is a remote role that will be based in the United States with preference given to ... AI capabilities are deeply embedded across customer journeys * Teams adopt AI-first development ...

Showing results 21-40

Remote Embedded Software information

See Flower Mound, TX salary details

$64.2K

$140.7K

$159.6K

How much do remote embedded software jobs pay per year?

As of Aug 12, 2026, the average yearly pay for remote embedded software in Flower Mound, TX is $140,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,600.00 and $158,700.00 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 job categories do people searching Remote Embedded Software jobs in Flower Mound, TX look for? The top searched job categories for Remote Embedded Software jobs in Flower Mound, TX are:
What cities near Flower Mound, TX are hiring for Remote Embedded Software jobs? Cities near Flower Mound, TX with the most Remote Embedded Software job openings:

Embedded AI Engineer - Construction (Field Installation)

Gigapower

Dallas, TX • On-site, Remote

Full-time

Posted yesterday

New


Job description

Description
Embedded AI Engineer - Construction (Field Installation)
Company: Gigapower LLC
Dept./Org.: Trans./Strategy
Location: Virtual (Remote)
Who We Are
Gigapower is building next-generation fiber broadband infrastructure that expands high-speed connectivity to communities across the United States. We are committed to innovation, operational excellence, and leveraging technology to deliver smarter, faster, and more scalable solutions. As an AI-forward organization, we encourage employees at every level to embrace emerging technologies, continuously expand their AI capabilities, and actively incorporate AI tools into their daily work to improve productivity, decision-making, collaboration, and business outcomes.
Position Summary
The Embedded AI Engineer serves as the dedicated AI partner for Gigapower's Construction Field Installation organization. This role is responsible for identifying, developing, and deploying AI-powered solutions that improve field operations, installation quality, workforce productivity, and execution efficiency across active fiber construction programs.
Working directly with construction and field installation teams, the Embedded AI Engineer will gain a deep understanding of operational workflows, identify high-value opportunities for automation and optimization, and build practical AI solutions ranging from lightweight automations to enterprise-scale applications. The ideal candidate combines strong technical capabilities with business partnership skills and demonstrates enthusiasm for leveraging emerging AI technologies to solve real-world operational challenges.
This position offers a unique opportunity to help shape AI adoption across a critical business function while receiving mentorship from experienced technical leaders and contributing to the growth of Gigapower's AI capabilities.
Key Responsibilities
  • Partner closely with Construction Field Installation leaders and field operations teams to understand workflows, challenges, and opportunities for AI-driven improvement.
  • Identify, prioritize, and deliver AI solutions that improve operational efficiency, quality, execution performance, and workforce productivity.
  • Design, develop, test, and deploy AI-powered applications including automations, retrieval-augmented generation (RAG) solutions, intelligent agents, and internal productivity tools.
  • Collaborate with Data Engineering, Analytics, and AI teams to support larger-scale initiatives requiring shared platforms, enterprise data, or cross-functional coordination.
  • Promote adoption of AI technologies through user coaching, enablement, training, and ongoing support.
  • Measure solution effectiveness through usage metrics, quality indicators, and business impact analysis.
  • Gather feedback from stakeholders and continuously refine deployed solutions to maximize value.
  • Identify opportunities to scale successful AI solutions and best practices across additional business functions.
  • Utilize AI-powered tools to increase individual productivity, improve solution development, and accelerate business outcomes.
  • Support strategic initiatives and continuous improvement efforts across construction and field operations.

Qualifications
  • Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related discipline, or equivalent practical experience.
  • 1 to 3 years of experience developing software, analytics, automation, or AI-based solutions.
  • Hands-on experience building applications utilizing Large Language Models (LLMs), including prompting, retrieval-augmented generation (RAG), AI agents, automation workflows, or tool integrations.
  • Strong proficiency in Python.
  • Experience developing solutions from concept through deployment and user adoption.
  • Working knowledge of SQL and experience working with structured datasets.
  • Strong communication skills with the ability to explain technical concepts to non-technical audiences.
  • Demonstrated ability to operate independently and manage competing priorities in a fast-paced environment.
  • Strong problem-solving, analytical, and critical-thinking skills.
  • Enthusiasm for learning new technologies and understanding complex business operations.

Preferred Qualifications
  • Experience supporting construction field installation, field operations, or field service organizations.
  • Knowledge of outside plant (OSP), fiber broadband, telecommunications, utility, or construction operations.
  • Experience with Azure, Snowflake, or cloud-based data platforms.
  • Experience working with geospatial data and GIS-related systems.
  • Background in organizational change management, user enablement, training, or technology adoption programs.

Key Competencies
  • AI Solution Development: Designs and delivers practical AI-powered solutions that create measurable business value.
  • Business Partnership: Builds strong relationships with operational stakeholders and translates business challenges into technical solutions.
  • Innovation & Automation: Continuously identifies opportunities to streamline processes and improve efficiency through technology.
  • Communication & Influence: Effectively communicates technical concepts and drives adoption across diverse stakeholder groups.
  • Learning Agility: Quickly develops expertise in new business domains, technologies, and operational processes.
  • AI Adoption & Enablement: Promotes responsible and effective use of AI technologies to improve individual and team performance.
  • Problem Solving: Uses data-driven analysis and creative thinking to resolve complex operational challenges.

About Us
Gigapower is building the next generation of broadband infrastructure. Through innovative fiber network deployment and strategic partnerships, we are helping expand high-speed connectivity to communities and businesses across the United States. Our mission is to deliver reliable, scalable, and future-ready broadband solutions that empower economic growth, education, healthcare, and digital innovation.
At Gigapower, we value collaboration, accountability, integrity, and continuous improvement. We are committed to creating an environment where employees can contribute meaningful work, develop professionally, and make a lasting impact on the communities we serve. As we continue to grow, we seek talented individuals who are passionate about excellence and eager to help shape the future of connectivity.
EEO
Gigapower is an Equal Opportunity Employer and is committed to creating a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, national origin, ancestry, citizenship status, age, disability, medical condition, genetic information, sex, pregnancy, sexual orientation, gender identity or expression, marital status, veteran status, military status, or any other characteristic protected by applicable federal, state, or local law.
Gigapower is committed to providing reasonable accommodation to qualified individuals with disabilities and to applicants throughout the recruitment process. If you require assistance or accommodation, please notify a member of our Talent Acquisition team.