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Embedded Machine Learning Engineer Jobs in Clearwater, FL

The role is for an AI Engineer focused on designing, developing, and implementing machine learning and AI models, particularly Generative AI applications and Agentic AI solutions. The engineer will ...

ML Engineer Tampa, Florida, United States Or refer someone Job Openings ML Engineer About the Job ... AI, Machine Learning, and Data Science. We stand out as an agency that's deeply embedded in our ...

Senior AI Engineer - SFL Scientific

Tampa, FL · On-site

$98K - $135K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Bigdata Engineer

Tampa, FL

$52.75 - $69.75/hr

Job Title: Bigdata Engineer Location: Tampa, FL Duration: 12+ Months Contract to hire Job ... Deploy the machine learning model and serve its outputs as RESTful API calls. Understand the ...

The role involves developing AI applications, optimizing machine learning models, and integrating ... engineering, and model training. • Research and apply advancements in NLP, Generative AI ...

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

... machine learning/Big Data • applications using open source tools such as Scala, Java, Python ... Interface with Engineering/Operations/System Admin/Data Scientist teams to ensure data • ...

They are seeking an ML Ops Engineer to design, build, and maintain the infrastructure and pipelines for Machine Learning model training and deployment, collaborating with a cross-functional data team.

Principal Software Engineer

Tampa, FL · On-site

$127K - $171K/yr

Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines. A background in data engineering, including experience with data pipelines ...

Principal Software Engineer

Tampa, FL · On-site

$127K - $171K/yr

Yourexpertisein both machine learning and operations will be essential in creating efficient and reliable ML pipelines.A background in data engineering, including experience with data pipelines and ...

Develops and maintains solutions in machine learning, reporting, visualization, predictive modeling ... Bachelor's degree in information systems, data science, computer/electrical engineering, or related ...

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Embedded Machine Learning Engineer information

See Clearwater, FL salary details

$64.5K

$141.4K

$160.4K

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

As of Jun 13, 2026, the average yearly pay for embedded machine learning engineer in Clearwater, FL is $141,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,200.00 and $159,400.00 per year, depending on experience, location, and employer.

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

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What does an Embedded Machine Learning Engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

What are some common challenges faced by Embedded Machine Learning Engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

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

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

What are popular job titles related to Embedded Machine Learning Engineer jobs in Clearwater, FL? For Embedded Machine Learning Engineer jobs in Clearwater, FL, the most frequently searched job titles are:
Infographic showing various Embedded Machine Learning Engineer job openings in Clearwater, FL as of June 2026, with employment types broken down into 43% Internship, and 57% Full Time. Highlights an 100% In-person job distribution, with an average salary of $141,370 per year, or $68 per hour.
Embedded Software Engineer - Viasat Government

Embedded Software Engineer - Viasat Government

Viasat, Inc.

Tampa, FL

$205K - $307K/yr

Full-time

Posted 16 hours ago


Viasat rating

3.4

Company rating: 3.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

77th of 78 rated telecommunications companies


Job description

About us

One team. Global challenges. Infinite opportunities. At Viasat, we’re on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We’re looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.


What you'll do

This is a role for an Embedded Software Engineer within Secure Network Systems (SNS) - Viasat Government, experienced in C/C++ and interested in learning the Rust programming language. You will develop software to support encrypted communications systems including Layer 2 and Layer 3 In-line Network Encryptors, embedded cryptographic devices, and emerging cryptographic solutions. You will interface and collaborate with system, test, and hardware engineers as new capabilities are developed and transitioned into service.

This role is for an experienced software engineer capable of working on or leading well-defined projects with little instruction while demonstrating expertise in most core software development competencies.


The day-to-day
  • Design and implementation with embedded software in Rust and C/C++
  • Linux OS use, for an embedded environment
  • TCP/IP and common network configuration
  • Agile Scrum development
  • Ability to plan, track and report on progress
  • CI/CD software development
  • Good oral and written communications skills
  • Knowledge of bare metal embedded device drivers  
  • Microprocessors and embedded processors (NIOS, ARM, RISC-V, etc.)
  • Networking protocols (e.g. IPSec, MACsec, TLS, etc.)
  • Participating in multi-disciplinary teams
  • This program is to develop, test and certify Next Generation Encryptor (NGE) encryptors to protect government networks.
  • Works autonomously with little instruction to solve well-defined problems.
  • Provide guidance and/or mentor junior level staff
  • This is an onsite role.

What you'll need
  • Bachelor's Degree or higher in Computer Science, Computer Engineering or related field
  • At least 7 years of design and implementation experience with embedded software in C/C++
  • At least 1 year Linux OS use, ideally for an embedded environment
  • Basic understanding of TCP/IP.
  • Object-oriented software development experience
  • Capability to prioritize, monitor, and communicate progress  
  • Good oral and written communications skills
  • US citizenship and an active SECRET or TOP SECRET security clearance is required
  • Ability to travel up to 10%

What will help you on the job
  • Agile Scrum development experience
  • Familiarity with Linux kernel driver development/modifications
  • Familiarity with bare-metal embedded device drivers
  • Experience with microprocessors and embedded processors (NIOS, ARM, RISC-V, etc.)
  • Experience with RESTConf interface design and implementation
  • Experience with Emulation Environments
  • Experience with networking protocols (e.g., IPSec, MACsec, TLS, etc.)
  • Experience with Python
  • Familiarity with standalone embedded applications
  • Experience participating in multi-disciplinary teams

Salary range
$165,000.00 - $260,500.00 / annually.For specific work locations within San Jose, the San Francisco Bay area and New York City metropolitan area, the base pay range for this role is $205,000.00- $307,000.00/ annually
At Viasat, we consider many factors when it comes to compensation, including the scope of the position as well as your background and experience. Base pay may vary depending on job-related knowledge, skills, and experience. Additional cash or stock incentives may be provided as part of the compensation package, in addition to a range of medical, financial, and/or other benefits, dependent on the position offered. Learn more about Viasat's comprehensive benefit offerings that are focused on your holistic health and wellness at https://careers.viasat.com/benefits.
EEO Statement

Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click here.

Qualifications:
  • Bachelor's Degree or higher in Computer Science, Computer Engineering or related field
  • At least 7 years of design and implementation experience with embedded software in C/C++
  • At least 1 year Linux OS use, ideally for an embedded environment
  • Basic understanding of TCP/IP.
  • Object-oriented software development experience
  • Capability to prioritize, monitor, and communicate progress  
  • Good oral and written communications skills
  • US citizenship and an active SECRET or TOP SECRET security clearance is required
  • Ability to travel up to 10%
Education:UNAVAILABLEEmployment Type: FULL_TIME

ViaSat logo

About ViaSat

Sourced by ZipRecruiter

At Viasat, we're on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate.

Industry

Telecommunications

Company size

5,001 - 10,000 Employees

Headquarters location

Carlsbad, CA, US

Year founded

1986