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Senior Embedded Machine Learning Jobs (NOW HIRING)

Senior Embedded Software Engineer

Irving, TX

$119K - $156K/yr

Job Title Senior Embedded Software Engineer Working at Abbott At Abbott, you can do work that ... Why Abbott Automation? * Build software that moves real machines and robots * Work on ...

Senior Embedded Software Engineer

Irving, TX · On-site

$119K - $156K/yr

Job Title Senior Embedded Software Engineer Working at Abbott At Abbott, you can do work that ... Build software that moves real machines and robots * Work on mission-critical medical automation ...

Senior Embedded Software Engineer

Irving, TX · On-site

$119K - $156K/yr

Job Title Senior Embedded Software Engineer Working at Abbott At Abbott, you can do work that ... Why Abbott Automation? * Build software that moves real machines and robots * Work on ...

Description As a Senior Embedded Software Engineer you will be a critical member of a multi ... with machine learning and mechanical design teams Preferred Qualifications Experience with ...

Senior Embedded Software Engineer at unspun We are looking for a hands-on, execution-driven Senior ... Reporting to Automation Lead, you'll own critical machine-control software that helps scale our ...

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Showing results 1-20

Senior Embedded Machine Learning information

See salary details

$75.5K

$144.8K

$193.5K

How much do senior embedded machine learning jobs pay per year?

As of Jul 11, 2026, the average yearly pay for senior embedded machine learning in the United States is $144,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,000.00 and $162,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Embedded Machine Learning vs Embedded Software Engineer?

AspectSenior Embedded Machine LearningEmbedded Software Engineer
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML and embedded systemsBachelor's in CS, EE, or related; strong programming skills in C/C++
Work EnvironmentDeveloping ML models for embedded devices, hardware integrationDesigning and implementing embedded software for devices
Industry UsageAI/ML-focused companies, IoT, consumer electronicsAutomotive, industrial, consumer electronics

While both roles involve embedded systems, Senior Embedded Machine Learning focuses on integrating ML models into hardware, requiring knowledge of AI and data science. Embedded Software Engineers primarily develop software for embedded devices, emphasizing firmware and system-level programming. The roles overlap in embedded environment skills but differ in their core focus on AI versus traditional software development.

What are some common challenges faced by Senior Embedded Machine Learning Engineers when deploying models on edge devices?

Senior Embedded Machine Learning Engineers often encounter challenges such as optimizing model size and inference speed to fit within the limited computational resources and memory of edge devices. Balancing accuracy and performance while minimizing power consumption is critical, especially for battery-operated products. Additionally, integrating models with existing embedded software and ensuring reliable, real-time operation can require close collaboration with hardware and firmware teams. Staying current with advancements in model compression and hardware acceleration is also essential for success in this role.

What are the key skills and qualifications needed to thrive as a Senior Embedded Machine Learning Engineer, and why are they important?

To thrive as a Senior Embedded Machine Learning Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often backed by an advanced degree in computer science or electrical engineering. Familiarity with tools such as TensorFlow Lite, ONNX, and embedded hardware platforms (e.g., ARM Cortex-M, NVIDIA Jetson) is typically required. Strong problem-solving, project management, and communication skills distinguish top performers in this role. These capabilities are crucial for efficiently deploying optimized machine learning models on resource-constrained devices and effectively collaborating across multidisciplinary teams.

What does a Senior Embedded Machine Learning engineer do?

A Senior Embedded Machine Learning engineer designs, develops, and optimizes machine learning models to run efficiently on resource-constrained embedded devices such as microcontrollers, IoT devices, and edge hardware. They are responsible for integrating ML algorithms with embedded systems, ensuring low latency and minimal power consumption. Their work often involves collaborating with hardware engineers and software developers to deploy intelligent features in products like smart sensors, wearables, and autonomous systems.
What cities are hiring for Senior Embedded Machine Learning jobs? Cities with the most Senior Embedded Machine Learning job openings:
What are the most commonly searched types of Embedded Machine Learning jobs? The most popular types of Embedded Machine Learning jobs are:
What states have the most Senior Embedded Machine Learning jobs? States with the most job openings for Senior Embedded Machine Learning jobs include:
Senior Embedded Software Engineer

Senior Embedded Software Engineer

Abbott

Irving, TX

$119K - $156K/yr

Full-time

Medical, Life, Retirement

Re-posted 18 days ago


Abbott rating

7.9

Company rating: 7.9 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

155th of 527 rated manufacturers


Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION:

Job Title

Senior Embedded Software Engineer

Working at Abbott
At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You'll also have access to:

  • Career development with an international company where you can grow the career you dream of.

  • Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.

  • An excellent retirement savings plan with a high employer contribution.

  • Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor's degree.

  • A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.

  • A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.

The Opportunity
The Senior Embedded Software Engineer works out of our Irving, TX location in the Core Diagnostics Division at Abbott. We're empowering smarter medical and economic decision-making to help transform the way people manage their health at all stages of life. Every day, more than 10 million tests are run on Abbott's diagnostics instruments, providing lab results for millions of people.

What You'll Work On

Build the Software Behind the Labs of the Future!

At Abbott we are redefining how modern laboratories operate-designing nextgeneration automated and robotic systems that accelerate diagnostics, improve reliability, and ultimately help clinicians deliver better patient care.

We are seeking a Senior Embedded Software Engineer to develop realtime embedded software for advanced laboratory automation platforms. This role offers handson ownership of embedded systems that directly control sophisticated robotic and electromechanical systems used globally.

Why Abbott Automation?

  • Build software that moves real machines and robots

  • Work on missioncritical medical automation platforms

  • Clear seniorlevel scope with strong technical ownership

  • Defined growth path within Abbott's technical ladder

  • Join a global leader in healthcare technology

  • Nextgeneration laboratory automation platforms

  • Robotic and electromechanical subsystems with realtime control requirements

  • RTOSbased, multithreaded embedded applications

  • Production medical device software with strict quality and traceability needs

Your Impact

  • Design, develop, and maintain realtime, multithreaded embedded software in C/C++

  • Implement lowlevel control software for robotic and motioncontrol subsystems

  • Apply testdriven development and unit testing using frameworks such as Google Test

  • Contribute to CI pipelines and automated build and test environments

  • Ensure software documentation, traceability, and compliance within a regulated medical environment

  • Participate actively in agile development including sprint planning, reviews, and retrospectives

  • Collaborate effectively with hardware, systems, verification, and quality teams across time zones

Why This Role Is Exciting?

  • Deep, handson embedded development close to hardware and robotics

  • Autonomy and technical ownership without peoplemanagement responsibilities

  • Opportunity to work on nextgeneration laboratory automation systems

  • Engineering culture focused on disciplined design, testing, and quality

  • Direct impact on medical diagnostics and patient care

Required Qualifications

  • Bachelor's degree ( 16 years of education) with 4+ years of related experience

  • Master's degree ( 18 years of education) with 2+ years of related experience

  • Associate's degree ( 13 years of education) with 8+ years of related experience

  • 10% International Travel to the EU

Preferred Qualifications

  • Strong proficiency in C and C++ applied to embedded systems development

  • Experience developing realtime, multithreaded embedded applications on an RTOS (e.g., ThreadX or similar)

  • Experience with embedded robotic or electromechanical control systems

  • Familiarity with embedded communication protocols (CAN, SPI, I2C, UART)

  • Experience with unit testing and testdriven development methodologies

  • Working experience with continuous integration environments

  • Proficiency with Git and GitHub, including branching, pull requests, and code reviews

  • Experience using Atlassian tools such as Jira and Confluence

Apply Now

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: https://abbottbenefits.com/

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at abbott.com, on LinkedIn at https://www.linkedin.com/company/abbott-/, and on Facebook at https://www.facebook.com/AbbottCareers.

The base pay for this position is

$78,000.00 - $156,000.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:Product DevelopmentDIVISION:CRLB Core LabLOCATION:United States > Irving : LC-02ADDITIONAL LOCATIONS:WORK SHIFT:StandardTRAVEL:NoMEDICAL SURVEILLANCE:NoSIGNIFICANT WORK ACTIVITIES:Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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