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Embedded Networking Jobs in Irving, TX (NOW HIRING)

Working directly with IT, Network Operations, and technology stakeholders, the Embedded AI Engineer will identify high-value opportunities for automation, operational intelligence, and workflow ...

... in Embedded SW development - Automotive infotainment development experience in 1) MCAL ... Network analyzers. • Perform static analysis using tool like Coverity. • Provide support for ...

Embedded System Engineer

Dallas, TX · On-site

$120K - $130K/yr

Proactive development experience in Modern C++ (11/14/17) within an embedded or systems programming ... High-Performance Networking: Hands-on familiarity with high-speed kernel bypass network stack ...

Showing results 21-40

Embedded Networking information

See Irving, TX salary details

$67.2K

$147.3K

$167.1K

How much do embedded networking jobs pay per year?

As of Aug 18, 2026, the average yearly pay for embedded networking in Irving, TX is $147,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,300.00 and $166,100.00 per year, depending on experience, location, and employer.

What is embedded networking?

Embedded networking refers to the integration of networking capabilities into embedded systems—specialized computing devices designed to perform dedicated functions. These systems often include hardware and software components that enable communication with other devices or networks, such as through Ethernet, Wi-Fi, or Bluetooth. Embedded networking is essential in applications like industrial automation, automotive systems, IoT devices, and consumer electronics, allowing devices to share data and operate collaboratively. Professionals in this field design, develop, and troubleshoot the protocols and interfaces that enable reliable network communication within resource-constrained environments.

What are the key skills and qualifications needed to thrive as an embedded networking engineer?

To thrive as an Embedded Networking Engineer, you need a strong background in embedded systems, C/C++ programming, and network protocols such as TCP/IP, often supported by a degree in computer engineering or related field. Familiarity with real-time operating systems (RTOS), network analyzers, and tools like Wireshark or Ethernet protocol stacks is commonly required. Problem-solving ability, attention to detail, and effective teamwork are crucial soft skills for this role. These skills ensure robust, secure, and efficient communication between embedded devices, which is vital for the reliability of modern connected systems.

What are some common challenges faced by professionals working in embedded networking, and how can they be addressed?

Professionals in embedded networking often encounter challenges such as resource constraints (limited memory and processing power), ensuring real-time performance, and maintaining robust security on devices with minimal overhead. Additionally, integrating new protocols or supporting interoperability with legacy systems can be complex. Addressing these challenges typically involves using efficient coding practices, thorough testing, and staying current with industry standards and security best practices. Collaboration with hardware engineers and firmware developers is also crucial to ensure seamless integration and reliable operation.

What is the difference between Embedded Networking vs Network Engineer?

AspectEmbedded Networking
Required CredentialsTypically includes certifications like Cisco CCNA, CompTIA Network+, and relevant hardware/software knowledge.
Work EnvironmentPrimarily embedded systems, IoT devices, and specialized hardware in manufacturing, automotive, or consumer electronics.
Employer & Industry UsageUsed by electronics manufacturers, IoT companies, and embedded systems developers.
Comparison SummaryEmbedded Networking focuses on integrating network connectivity into embedded devices and systems, requiring specialized hardware and firmware skills. Network Engineers design, implement, and manage broader network infrastructures across organizations. While both roles involve networking concepts, Embedded Networking is more specialized towards embedded systems, whereas Network Engineers handle larger-scale network architecture and management.

What job categories do people searching Embedded Networking jobs in Irving, TX look for?

The top searched job categories for Embedded Networking jobs in Irving, TX are:

What cities near Irving, TX are hiring for Embedded Networking jobs?

Cities near Irving, TX with the most Embedded Networking job openings:

Infographic showing various Embedded Networking job openings in Irving, TX as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $147,286 per year, or $70.8 per hour.

Embedded AI Engineer - IT

Gigapower

Dallas, TX • Remote

Full-time

Posted 6 days ago


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.