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Remote Embedded Ai Jobs in Texas (NOW HIRING)

Embedded AI Engineer - Finance

Dallas, TX · On-site +1

$130K - $171K/yr

Description Embedded AI Engineer - Finance Company: Gigapower LLC Dept./Org.: Trans./Strategy ... Virtual (Remote) Position Type: PW Who We Are Gigapower is building next-generation fiber broadband ...

Embedded AI Engineer - Engineering

Dallas, TX · On-site +1

$130K - $171K/yr

Description Embedded AI Engineer - Engineering Company: Gigapower LLC Dept./Org.: Trans./Strategy ... Virtual (Remote) Position Type: PW Who We Are Gigapower is building next-generation fiber broadband ...

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 ...

Senior AI Engineer

Houston, TX · On-site +1

$99K - $137K/yr

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

Senior AI Engineer

Austin, TX · On-site +1

$103K - $142K/yr

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

Senior AI Engineer

Dallas, TX · On-site +1

$103K - $142K/yr

... innovation, embedded AI capabilities, and global delivery resources-all in service of solving ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

Embraces AI as part of a modern engineering toolkit. * Excellent communication skills, fluency in ... Fully remote role and requires 20% travel, including domestic and international. Benefits Our ...

SAP AI Lead Developer

Plano, TX · On-site +1

$56.50 - $74/hr

Working experience of AI/ML solutions embedded in the SAP landscape * AI technologies, platforms ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

SAP AI Lead Developer

Plano, TX · On-site +1

$56.50 - $74/hr

Work on the architecture and design of AI/ML solutions embedded in the SAP landscape (S/4HANA, SAP ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

With a focus on leveraging technology, automation, and remote operations to enhance efficiencies ... Ability to work in a crossfunctional environment while embedded with a business unit and reporting ...

With a focus on leveraging technology, automation, and remote operations to enhance efficiencies ... Ability to work in a cross‑functional environment while embedded with a business unit and ...

... and remote roles. Cornelis Networks is seeking anAI Platform Engineerto help shape how our ... Embedded systems * ASIC development * Hardware/software integration * Validation * High-performance ...

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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 are the key skills and qualifications needed to thrive as a remote embedded AI engineer?

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 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 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 the most commonly searched types of Embedded Ai jobs in Texas?

The most popular types of Embedded Ai jobs in Texas are:

What cities in Texas are hiring for Remote Embedded Ai jobs?

Cities in Texas with the most Remote Embedded Ai job openings:

Infographic showing various Remote Embedded Ai job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Embedded AI Engineer - Finance

Gigapower

Dallas, TX • On-site, Remote

$130K - $171K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Description
Embedded AI Engineer - Finance
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 Finance organization. This role is responsible for identifying, developing, and deploying AI-powered solutions that improve financial planning, forecasting, capital strategy, funding analysis, build-cost approvals, reporting, and decision-making across the business. Working directly with Finance, FP&A, and business leaders, the Embedded AI Engineer will uncover high-value opportunities for automation, insight generation, and workflow optimization while driving adoption of AI throughout the finance function.
Key Responsibilities
• Partner with Finance teams to understand budgeting, forecasting, capital planning, reporting, and approval workflows.
• Identify and prioritize opportunities where AI can improve financial analysis, operational efficiency, and decision-making.
• Build and deploy AI-powered automations, RAG applications, agents, copilots, and internal productivity tools.
• Develop solutions that streamline financial reporting, forecasting, cost analysis, and capital approval processes.
• Collaborate with Data Engineering and AI teams on enterprise-scale platforms and shared data initiatives.
• Create tools that improve visibility into spend, capital deployment, project economics, and business performance.
• Coach stakeholders on effective use of Microsoft Copilot, Claude, ChatGPT, and other AI technologies.
• Measure adoption, quality, and business outcomes to continuously improve delivered solutions.
• Reduce manual effort through workflow automation and intelligent reporting capabilities.
• Identify scalable AI use cases that can be deployed across multiple business functions.
Qualifications
• Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Finance, or a related discipline, or equivalent 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 with structured datasets.
• Ability to take solutions from concept through deployment and user adoption.
• Strong communication and stakeholder management skills.
• Self-starter mindset with comfort operating in fast-paced and ambiguous environments.
• Strong analytical, problem-solving, and critical-thinking skills.
• Enthusiasm for learning complex financial and business processes.
Preferred Qualifications
• Experience in corporate finance, FP&A, capital planning, financial analytics, or infrastructure cost estimation.
• Experience supporting telecommunications, construction, utilities, infrastructure, or capital-intensive industries.
• Experience with Azure, Snowflake, cloud analytics platforms, or modern data environments.
• Experience with change management, user enablement, training, or technology adoption initiatives.
Key Competencies
• Financial Process Optimization: Improves efficiency, accuracy, and scalability of finance operations through technology.
• AI Solution Development: Designs and delivers AI-powered solutions that create measurable business value.
• Business Partnership: Builds trusted relationships with finance and operational stakeholders.
• Data-Driven Decision Making: Uses data, analytics, and AI to provide actionable insights.
• Automation & Innovation: Identifies opportunities to eliminate manual effort and improve productivity.
• Communication & Influence: Explains technical concepts clearly and drives adoption across stakeholder groups.
• Learning Agility: Quickly develops expertise in financial processes, technologies, and business 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.