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Embedded Ai Engineer Jobs in Texas (NOW HIRING)

Hp

Embedded AI/ML Developer

Spring, TX

$117K - $154K/yr

The engineer will work closely with hardware, firmware, software, and data science teams to translate AI/ML concepts into production-ready embedded implementations. Responsibilities include model ...

Service Global, Inc

AI Engineer

Austin, TX · On-site

... embedded systems. For more than 15 years, customer have trusted us for our innovative problem ... AI Engineer Location: Remote - Skills: * Strong backend engineering in TypeScript/Node.js ...

h2o.ai

Senior AI Engineer

Dallas, TX · On-site

$180 - $260/hr

This is a hands‑on engineering role embedded within a customer‑facing field team, meaning your ... Design and build agentic AI systems and multi‑agent frameworks that automate complex ...

h2o.ai

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

This is a hands-on engineering role embedded within a customer-facing field team, meaning your work ... Agentic AI & LLM Engineering * Design and build agentic AI systems and multi-agent frameworks that ...

h2o.ai

Principal AI Engineer

Dallas, TX · On-site

This is a hands-on engineering role embedded within a customer-facing field team, meaning your work ... Agentic AI & LLM Engineering * Design and build agentic AI systems and multi-agent frameworks that ...

h2o.ai

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

This is a hands-on engineering role embedded within a customer-facing field team, meaning your work ... Agentic AI & LLM Engineering * Design and build agentic AI systems and multi-agent frameworks that ...

h2o.ai

Principal AI Engineer

Dallas, TX · On-site

This is a hands-on engineering role embedded within a customer-facing field team, meaning your work ... Agentic AI & LLM Engineering * Design and build agentic AI systems and multi-agent frameworks that ...

Chevron

AI Engineer

Houston, TX · On-site

As an AI Engineer on this team, you will partner with AI and Machine Learning Engineers across the ... be embedded within larger frameworks or applications. * Proficient at orchestrating large-scale ...

Roku

Software Engineer, Embedded Agentic AI

Austin, TX · On-site

$130K - $171K/yr

About the team Roku TV is where embedded systems, media experiences, and intelligent software come ... This is a hands-on engineering role for someone who treats AI agent design as an engineering ...

Chevron Corporation

AI Engineer

Houston, TX · On-site

$120 - $180/hr

As an AI Engineer on this team, you will partner with AI and Machine Learning Engineers across the ... be embedded within larger frameworks or applications. * Proficient at orchestrating large-scale ...

Cirrus Logic

Senior AI Engineer

Austin, TX · On-site

$103K - $142K/yr

The Role We are seeking a hands-on Senior AI Engineer to join Cirrus Logic's centralized AI Core ... Experience with embedded software, firmware, device drivers, RTOS or bare-metal development ...

Roku

Software Engineer, Embedded Agentic AI

Austin, TX · On-site

$130K - $171K/yr

About the team Roku TV is where embedded systems, media experiences, and intelligent software come ... This is a hands-on engineering role for someone who treats AI agent design as an engineering ...

The Ride Platform

Roamly Labs - AI Engineer

Austin, TX · On-site

AI Engineer (AI-Native Builder) We are seeking an extraordinary AI Engineer who is an AI-native ... Revolutionize Embedded Insurance: Develop AI-driven products through agents that power solutions we ...

The Ride Platform

Roamly Labs - AI Engineer

Austin, TX · On-site

AI Engineer (AI-Native Builder) We are seeking an extraordinary AI Engineer who is an AI-native ... Revolutionize Embedded Insurance: Develop AI-driven products through agents that power solutions we ...

Life Science Logistics LLC

AI Engineer

Coppell, TX

... embedded in PDFs, DOCX, or CSV files uploaded through Claude Desktop. * Build and maintain internal ... software engineering or applied AI experience, with at least 1 year focused on LLM prompt ...

Life Science Logistics

AI Engineer

Coppell, TX · On-site

... embedded in PDFs, DOCX, or CSV files uploaded through Claude Desktop. * Build and maintain internal ... software engineering or applied AI experience, with at least 1 year focused on LLM prompt ...

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All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Texas

Embedded Ai Engineer information

See Texas salary details

$65.2K

$142.9K

$162.1K

How much do embedded ai engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for embedded ai engineer in Texas is $142,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,500.00 and $161,200.00 per year, depending on experience, location, and employer.

What is an embedded AI engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

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

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an embedded AI engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.

What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What are popular job titles related to Embedded Ai Engineer jobs in Texas?

For Embedded Ai Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Embedded Ai Engineer jobs in Texas look for?

The top searched job categories for Embedded Ai Engineer jobs in Texas are:

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

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

Embedded Ai Engineer jobs near you
Infographic showing various Embedded Ai Engineer 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, with an average salary of $142,900 per year, or $68.7 per hour.

Embedded AI/ML Developer

HP Development Company, L.P.

Spring, TX • On-site

$117K - $154K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 4 days ago

Job description

Embedded AI/ML Developer
Description -
The Embedded AI/ML Developer will design, develop, and optimize AI-enabled embedded software solutions for HP's commercial PC and connected device portfolio. This role focuses on deploying efficient machine learning models at the edge, integrating AI capabilities with firmware and system software, and enabling intelligent user experiences across resource-constrained platforms.
The engineer will work closely with hardware, firmware, software, and data science teams to translate AI/ML concepts into production-ready embedded implementations. Responsibilities include model optimization, inference runtime integration, performance tuning, debugging, documentation, and staying current with emerging edge AI technologies, tools, and industry best practices.
Responsibilities
  • Designs, develops, and optimizes embedded AI/ML software for edge devices, including PCs, docking solutions, displays, peripherals, and other intelligent client platforms.
  • Converts AI/ML algorithms and proof-of-concept models into efficient, production-quality embedded implementations optimized for latency, memory, power, and compute constraints.
  • Integrates machine learning inference engines, model runtimes, and AI accelerators into embedded firmware and system software environments.
  • Collaborates with cross-functional teams to define AI feature requirements, system architecture, data flow, model deployment strategy, and validation plans.
  • Profiles and tunes embedded AI workloads to improve inference performance, reduce memory footprint, improve responsiveness, and optimize power consumption.
  • Develops and maintains software interfaces between AI/ML components, firmware, device drivers, sensors, embedded controllers, and host applications.
  • Supports model compression, quantization, pruning, benchmarking, and deployment using embedded AI frameworks and hardware acceleration technologies.
  • Troubleshoots complex system-level issues involving AI inference, firmware behavior, sensor data, device communication, and platform integration.
  • Creates and maintains technical documentation, including architecture descriptions, design specifications, model deployment guides, validation procedures, and integration notes.
  • Explores emerging embedded AI, TinyML, NPU, MCU, sensor fusion, and edge inference technologies to help drive innovation across future HP platforms.

Education & Experience Recommended
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Robotics or a related technical discipline.
  • 7-10 years of relevant experience in embedded software, firmware, AI/ML deployment, edge inference, or system-level software development.

Preferred Certifications
Embedded AI/ML Engineering
  • Hands-on experience deploying AI/ML models on embedded systems, edge devices, MCUs, SoCs, NPUs, DSPs, or other constrained compute platforms.
  • Experience with model optimization techniques such as quantization, pruning, compression, TensorRT, ONNX, TFLite, or similar deployment toolchains.
  • Strong understanding of ML inference pipelines, data preprocessing, sensor input handling, feature extraction, and runtime performance tuning.
  • Experience integrating AI workloads with embedded firmware, device drivers, RTOS, Linux, Windows, or low-level system software environments.
  • Familiarity with AI validation, automated testing, CI/CD pipelines, model benchmarking, and regression testing for embedded platforms.

Embedded Systems and Platform Integration
  • Strong embedded software development experience using C/C++ and Python for prototyping, automation, model conversion, and testing.
  • Experience working with sensors, camera/audio pipelines, telemetry data, wireless modules, or contextual signals used by AI-enabled experiences.
  • Knowledge of embedded communication protocols such as UART, I2C, SPI, USB, PCIe, Bluetooth, Wi-Fi, or other device interconnect standards.
  • Ability to read hardware specifications, device datasheets, schematics, and platform architecture documents to support AI/ML feature integration.

Knowledge & Skills
  • Proficient in C/C++ and Python; familiar with embedded scripting, automation, build systems, and model deployment workflows.
  • Experience with AI/ML frameworks and formats such as PyTorch, TensorFlow, ONNX, TensorFlow Lite, OpenVINO, or similar toolchains.
  • Knowledge of embedded system architecture, boot flow, firmware interfaces, memory constraints, power management, and real-time execution tradeoffs.
  • Skilled in embedded debugging and profiling using JTAG, SWD, logic analyzers, oscilloscopes, performance counters, tracing tools, or vendor-specific debug environments.
  • Experience optimizing AI workloads for latency, throughput, memory footprint, thermal behavior, and battery life on constrained devices.
  • Familiarity with AI accelerator SDKs, NPU/DSP/GPU offload, heterogeneous compute, and hardware/software co-optimization.
  • Understanding of RTOS concepts, Linux/Windows system software, multi-threaded development, secure update mechanisms, and production-quality embedded software practices.
  • Strong analytical and problem-solving skills with the ability to debug complex interactions across model behavior, firmware, drivers, sensors, and host software.
  • Ability to work independently and collaboratively in a cross-functional engineering environment, translating AI concepts into reliable product experiences.

The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job -
Software
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

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