2

Remote Embedded Systems Engineer Jobs in DeSoto, TX

Virtual (Remote) Position Type: PW Who We Are Gigapower is building next-generation fiber broadband ... Qualifications · Bachelor's degree in Computer Science, Engineering, Information Systems, Data ...

New

Virtual (Remote) Position Type: PW Who We Are Gigapower is building next-generation fiber broadband ... Qualifications • Bachelor's degree in Computer Science, Engineering, Information Systems, Data ...

New

Embedded AI Engineer - Engineering

Dallas, TX · On-site +1

$130K - $171K/yr

Virtual (Remote) Position Type: PW Who We Are Gigapower is building next-generation fiber broadband ... Systems, or a related discipline, or equivalent practical experience. • 1 to 3 years of ...

New

Embedded AI Engineer - Engineering

Dallas, TX · Remote

$134K - $177K/yr

Virtual (Remote) Position Type: PW Who We Are Gigapower is building next-generation fiber broadband ... Systems, or a related discipline, or equivalent practical experience. · 1 to 3 years of experience ...

New

Embedded AI Engineer - Finance

Dallas, TX · Remote

$134K - $177K/yr

Virtual (Remote) Position Type: PW Who We Are Gigapower is building next-generation fiber broadband ... Systems, Finance, or a related discipline, or equivalent experience. · 1 to 3 years of experience ...

New

Embedded AI Engineer - Finance

Dallas, TX · On-site +1

$130K - $171K/yr

Virtual (Remote) Position Type: PW Who We Are Gigapower is building next-generation fiber broadband ... Systems, Finance, or a related discipline, or equivalent experience. • 1 to 3 years of experience ...

New

next page

Showing results 1-20

Remote Embedded Systems Engineer information

See DeSoto, TX salary details

$61.2K

$134.3K

$187.9K

How much do remote embedded systems engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote embedded systems engineer in DeSoto, TX is $134,345.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,100.00 and $160,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Embedded Systems Engineer, you need a solid background in electrical engineering, proficiency in C/C++ programming, and experience with embedded hardware and software design. Familiarity with development tools such as debuggers, oscilloscopes, version control systems (like Git), and RTOS platforms, as well as certifications like Certified Embedded Systems Engineer, are commonly required. Strong problem-solving abilities, self-motivation, and effective remote communication skills set top candidates apart in this role. These skills are essential for developing reliable, high-performance embedded solutions while collaborating efficiently in distributed teams.

How do remote embedded systems engineers typically collaborate with hardware teams when working off-site?

Remote Embedded Systems Engineers often collaborate with hardware teams through video conferencing, collaborative design tools, and remote access to development boards. Regular virtual meetings are scheduled for project updates, troubleshooting, and aligning on hardware-software integration requirements. To stay effective, engineers may use remote debugging tools and sometimes ship prototype hardware to their home office, ensuring they can test and validate firmware in real time. Clear documentation and proactive communication are essential for overcoming the physical distance and ensuring successful project outcomes.

What is a remote embedded systems engineer?

A Remote Embedded Systems Engineer is a professional who designs, develops, and maintains embedded systems—specialized computing systems that perform dedicated functions within larger mechanical or electrical systems—while working remotely. These engineers work with hardware and software, often programming microcontrollers or processors, to create solutions for products like smart devices, automotive systems, or industrial machines. Their remote role means they collaborate virtually with teams, using tools for code development, debugging, and communication. Strong knowledge of C/C++, Linux, and real-time operating systems (RTOS) is often required. Remote Embedded Systems Engineers play a crucial role in the growing fields of IoT, automation, and smart technologies.

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

AspectRemote Embedded Systems EngineerRemote Firmware Developer
Required CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related field; knowledge of embedded C/C++Bachelor's in Computer Science, Electrical Engineering; proficiency in embedded C, assembly, and RTOS
Work EnvironmentDesigning and testing hardware-software integration, often in R&D labs or remote setupsDeveloping low-level code for hardware devices, often in embedded systems or IoT projects
Employer & Industry UsageElectronics, automotive, aerospace, IoT companiesConsumer electronics, industrial automation, IoT device manufacturers

While both roles involve working with embedded hardware and software, the Remote Embedded Systems Engineer typically focuses on system design, integration, and testing, whereas the Remote Firmware Developer specializes in writing low-level firmware code for specific hardware components. Both roles require similar technical skills and often overlap in industry applications.

What cities near DeSoto, TX are hiring for Remote Embedded Systems Engineer jobs? Cities near DeSoto, TX with the most Remote Embedded Systems Engineer job openings:
Infographic showing various Remote Embedded Systems Engineer job openings in DeSoto, TX as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, 5% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $134,345 per year, or $64.6 per hour.

Embedded AI Engineer - IT

Gigapower

Dallas, TX • Remote

Full-time

Posted yesterday

New


Job description

Embedded AI Engineer – IT

Company: Gigapower LLC
Dept./Org.: Trans./Strategy
Location: Virtual (Remote)
Position Type: PW

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 IT organization. This role is responsible for identifying, developing, and deploying AI-powered solutions that improve network monitoring, network operations, maintenance, performance optimization, capacity management, and operational efficiency across Gigapower's fiber network environment. Working directly with IT, Network Operations, and technology stakeholders, the Embedded AI Engineer will identify high-value opportunities for automation, operational intelligence, and workflow optimization while accelerating AI adoption throughout the organization. 

Key Responsibilities

·       Partner with IT and Network Operations teams to understand monitoring, maintenance, incident management, and operational workflows. 

·       Identify and prioritize opportunities where AI can improve network visibility, operational efficiency, performance, and reliability. 

·       Build and deploy AI-powered automations, RAG applications, agents, copilots, and internal productivity tools. 

·       Develop solutions that support network monitoring, alert management, root-cause analysis, capacity planning, and load balancing activities. 

·       Create intelligent tools that help teams identify trends, predict issues, and accelerate issue resolution. 

·       Collaborate with Data Engineering and AI teams on enterprise-scale platforms and shared data initiatives. 

·       Coach stakeholders on effective use of Microsoft Copilot, Claude, ChatGPT, and emerging AI technologies. 

·       Measure adoption, quality, and business outcomes and continuously improve delivered solutions. 

·       Reduce manual effort through workflow automation, reporting enhancements, and operational intelligence capabilities. 

·       Identify scalable AI use cases that can be leveraged across additional technology and operational functions. 

Qualifications

·       Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline, or equivalent practical experience. 

·       1 to 3 years of experience developing software, analytics, automation, data, or AI-based solutions. 

·       Hands-on experience with LLMs, prompt engineering, RAG, AI agents, or automation workflows. 

·       Strong proficiency in Python. 

·       Working knowledge of SQL and experience working with structured datasets. 

·       Ability to take solutions from concept through deployment and user adoption. 

·       Strong communication skills and the ability to build relationships with technical and non-technical stakeholders. 

·       Self-starter mindset with comfort operating in fast-paced and ambiguous environments. 

·       Strong analytical, problem-solving, and critical-thinking skills. 

·       Enthusiasm for learning technology operations, network infrastructure, and business processes. 

Preferred Qualifications

·       Experience in network operations, network monitoring, IT operations, telecommunications, or NOC environments. 

·       Experience supporting broadband, fiber, telecommunications, infrastructure, or large-scale technology environments. 

·       Experience with Azure, Snowflake, cloud platforms, monitoring tools, or operational analytics environments. 

·       Experience with change management, training, enablement, or technology adoption initiatives. 

Key Competencies

·       Network Operations Optimization: Improves operational efficiency, reliability, and visibility through technology and automation. 

·       AI Solution Development: Designs and delivers practical AI-powered solutions that create measurable business value. 

·       Technical Partnership: Builds trusted relationships with IT and operational stakeholders to solve complex challenges. 

·       Data-Driven Decision Making: Uses data, analytics, and AI to support operational decisions and performance improvements. 

·       Automation & Innovation: Identifies opportunities to eliminate manual effort and improve productivity. 

·       Communication & Influence: Clearly explains technical concepts and drives successful adoption of new capabilities. 

·       Learning Agility: Quickly develops expertise in new technologies, systems, and operational domains. 

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.