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Embedded Machine Learning Jobs in Dallas, TX (NOW HIRING)

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Product Manager III - Embedded Systems

Dallas, TX · On-site

$108K - $216K/yr

... and machine learning capabilities, and new architectural approaches to evolve the ACR platform ... Drive cross-functional execution across embedded engineering, data engineering, data science, QA, ...

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Embedded Machine Learning information

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$69.2K

$151.7K

$172.1K

How much do embedded machine learning jobs pay per year?

As of Sep 15, 2026, the average yearly pay for embedded machine learning in Dallas, TX is $151,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,100.00 and $171,100.00 per year, depending on experience, location, and employer.

What is an embedded machine learning?

An Embedded Machine Learning job involves developing and optimizing machine learning models to run efficiently on resource-constrained devices like microcontrollers, edge devices, and IoT hardware. Professionals in this role work on model compression, low-power inference, and real-time processing, ensuring AI capabilities can function without relying on cloud computing. Responsibilities often include data preprocessing, feature extraction, model training, and deployment on embedded systems using frameworks like TensorFlow Lite or Edge Impulse.

What are the key skills and qualifications needed to thrive in embedded machine learning?

To thrive in Embedded Machine Learning, you should have expertise in machine learning algorithms, embedded systems programming (e.g., C/C++, Python), and a solid understanding of hardware-software integration, typically backed by a degree in computer engineering, electrical engineering, or a related field. Familiarity with edge AI tools (such as TensorFlow Lite, ONNX, or Edge Impulse), microcontrollers, and real-time operating systems is highly valued, alongside relevant certifications such as Embedded Systems or AI certificates. Strong problem-solving skills, effective communication, and the ability to work cross-functionally are crucial soft skills in this field. These qualifications and qualities are vital for creating efficient, reliable AI solutions that operate seamlessly within resource-constrained environments and interdisciplinary project teams.

What are some common challenges faced by professionals working in embedded machine learning roles?

Professionals in embedded machine learning roles often face the challenge of optimizing machine learning models to run efficiently on resource-constrained hardware, such as microcontrollers or edge devices with limited memory and processing power. Balancing model accuracy, inference speed, and energy consumption can require creative problem-solving and deep knowledge of both hardware and software. Additionally, collaboration with hardware engineers, data scientists, and software developers is key, as projects typically require cross-functional teamwork to meet performance and deployment goals. Staying current with rapidly evolving tools and best practices is also important in this dynamic field.

What are popular job titles related to Embedded Machine Learning jobs in Dallas, TX?

For Embedded Machine Learning jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Embedded Machine Learning jobs in Dallas, TX look for?

The top searched job categories for Embedded Machine Learning jobs in Dallas, TX are:

Embedded Machine Learning jobs near you
Infographic showing various Embedded Machine Learning job openings in Dallas, TX as of September 2026, with employment types broken down into 49% Internship, and 51% Contract. Highlights an 100% In-person job distribution, with an average salary of $151,732 per year, or $72.9 per hour.

Systems Engineering Intern - Machine Learning Expert

Dallas, TX • On-site

Texas Instruments
Semiconductor and Electronic Component Manufacturing • 10K+ employees
Learn more about Texas Instrumentsexternal

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Posted 10 days ago

Texas Instruments rating

8.1

Company rating: 8.1 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

Job description

Change the world. Love your job.
We are seeking a highly motivated PhD student to join our Generative AI team this fall to work on cutting‑edge Large Language Model (LLM) research and development for Edge AI applications. As a key member of our team, you will focus on advancing the state‑of‑the‑art in LLMs and Agentic LLMs, with applications in coding generation and optimization. Your work will involve exploring innovative approaches to integrate LLMs with other AI techniques to achieve human‑like decision‑making capabilities.

In this machine learning research engineer intern role, you’ll have the chance to:

  • Research and develop novel LLM architectures and training methods to improve performance and efficiency
  • Explore the application of LLMs in coding generation, optimization, and other areas of interest
  • Collaborate with internal business teams to define and implement AI strategies for our products
  • Develop and maintain large‑scale deep learning systems, incorporating LLMs and other AI techniques
  • Participate in the design and implementation of advanced Agentic LLM system

About Us:

Texas Instruments Incorporated (TI)is a global semiconductor design and manufacturing company that develops analog and embedded processing ICs. By employing the world’s brightest minds, TI innovates that shape the future of technology with commits to building a better future. The future which covers from the responsible manufacturing of our semiconductors,tocaringforouremployees,togivingbacktoourcommunitiesanddeveloping great minds. Put your talent to work with us – change the world, love your job!

Kilby Labs, TI’s central technology organization, is a global organization grouped by a variety of research engineers from multiple technology disciplines to deliver semiconductor technologiesandsolutionsforfuturelargevolumeproductsinafastmovingpace.Theengineer is expected to do system modeling and simulations for solutions feasibility study, define and build system prototypes to demonstrate the functionality and understand application needs and limitations.

Our Generative AI team is at the forefront of AI research, developing and applying AI algorithms, training models, and optimizing hardware and software for real‑world problem‑solving. We are passionate about harnessing the power of AI to create intelligent systems that can interact, learn, and adapt in complex environments.

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About Texas Instruments

Sourced by ZipRecruiter

As a global semiconductor company, we design, manufacture, test and sell analog and embedded processing chips to nearly 100,000 customers. Our products enable electronics everywhere and in things you experience every day - from health care, smart homes and connected cars to drones, smart phones and more. Our passion to create a better and more sustainable world by making electronics more affordable through semiconductors drives us to make our technology smaller, more efficient, more reliable and more affordable.

Industry

Semiconductor and electronic component manufacturing

Company size

10,000+ Employees

Headquarters location

Dallas, TX, US

Year founded

1930

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