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

ERP SAVVY LLC

SAP ISLM Technical Consultant

Dallas, TX · On-site

$62.25 - $85/hr

Lead technical design and development of SAP ISLM solutions with embedded AI/ML capabilities ... Work with data scientists and business analysts to deploy predictive models and machine learning ...

CBRE

Senior AI/ML Enterprise Architect

Dallas, TX · On-site

... embedded in our client's decision-making processes. You will be part of the Global Enterprise ... Conduct hands-on testing with various machine learning models, including fine-tuning large language ...

TERREPOWER

Manager, AI and Data Analytics

Irving, TX · On-site

Demonstrated experience leading or delivering AI and machine learning initiatives, including predictive models, forecasting, or AI features embedded in BI platforms, with working knowledge of model ...

BBB

Manager, AI and Data Analytics

Dallas, TX

Demonstrated experience leading or delivering AI and machine learning initiatives, including predictive models, forecasting, or AI features embedded in BI platforms, with working knowledge of model ...

Comprehensive Logistics

VP of Materials

Denton, TX · On-site

CLI is the most advanced 3PL with cutting-edge technology and machine learning to keep supply ... More than a logistics provider, CLI is a true embedded partner - ensuring your supply chain moves ...

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Jobs in Dallas, TX

Embedded Machine Learning information

See Dallas, TX salary details

$69.2K

$151.7K

$172.1K

How much do embedded machine learning jobs pay per year?

As of Jul 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 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 is an Embedded Machine Learning job?

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 the Embedded Machine Learning position, and why are they important?

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 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
Perception Engineer I - Project Based

Perception Engineer I - Project Based

Autonomous Solutions

Fort Worth, TX

Temporary

Medical, Retirement, PTO

Posted 14 days ago

Job description

This is a project-based employee role supporting the development, integration, and validation of ASI's autonomous compactor platforms. Development phases of this nature typically continue through project completion, often spanning two to four years, although scope and duration are determined by business and customer needs.

JOB SUMMARY

The Perception Engineer I supports the development, integration, and testing of perception capabilities that enable ASI's autonomous compactors to understand terrain, detect obstacles, recognize work-area conditions, and operate safely in construction environments. This role works with data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other systems to support environmental awareness, terrain understanding, obstacle detection, and autonomous machine operation.

As a Level I engineer within ASI's five-level engineering structure, this position completes defined engineering assignments under the guidance of more experienced engineers. The role provides an opportunity to develop practical experience in robotics, computer vision, sensor processing, software development, and autonomous heavy-equipment testing while contributing to the Compactor Team's development goals.

ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Support the development, implementation, and testing of perception software for autonomous compactor applications
  • Assist with capabilities involving obstacle detection, object classification, terrain understanding, work-area awareness, and environmental sensing
  • Process and analyze data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other vehicle systems
  • Develop and maintain software components, scripts, and engineering tools under the direction of experienced team members
  • Assist with integrating perception software into ASI's autonomous compactor platforms and embedded computing systems
  • Evaluate assigned perception features using recorded datasets, simulation, laboratory testing, and vehicle field testing
  • Review test data to identify false detections, missed detections, sensor issues, and performance limitations
  • Support the collection, organization, labeling, visualization, and replay of sensor data
  • Assist with sensor installation, configuration, calibration, and validation activities
  • Develop basic tools for data processing, visualization, automated testing, and performance analysis
  • Troubleshoot defined software, sensor, and system-integration issues with support from senior engineers
  • Contribute to unit testing, regression testing, and documentation for perception software components
  • Work with GNC, embedded software, systems, test, and field teams to support autonomous compactor integration
  • Participate in code reviews, design discussions, sprint planning, and technical training activities
  • Document software changes, test results, technical findings, and known system limitations
  • Support field testing, customer demonstrations, and deployment activities as required
  • Follow established software-development, safety, quality, and configuration-management practices

ESSENTIAL EDUCATION, WORK EXPERIENCE, JOB SKILLS

  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Mathematics, or a related technical field
  • Zero to two years of professional experience in computer vision, robotics, machine learning, sensor processing, or software engineering
  • Academic, internship, research, or project experience developing software in C++ or Python
  • Basic understanding of computer vision, robotics, data processing, machine learning, or geometric algorithms
  • Familiarity with cameras, LiDAR, radar, GPS/GNSS, or other robotic sensing technologies
  • Familiarity with Linux-based software-development environments
  • Basic understanding of version control systems such as Git
  • Ability to analyze technical data and communicate findings clearly
  • Strong troubleshooting, learning, and problem-solving skills
  • Strong attention to detail and willingness to follow established engineering processes
  • Ability to receive technical direction and collaborate effectively with cross-functional teams
  • Strong written and verbal communication skills

PREFERRED QUALIFICATIONS

  • Internship, research, capstone, or personal-project experience involving robotics, autonomous vehicles, computer vision, or machine learning
  • Familiarity with ROS, ROS2, or similar robotics middleware
  • Exposure to OpenCV, Point Cloud Library, PyTorch, TensorFlow, or similar technologies
  • Experience working with image data, point clouds, sensor data, or machine-learning datasets
  • Familiarity with coordinate systems, transformations, sensor calibration, or data synchronization
  • Experience developing software for embedded, real-time, or robotic systems
  • Exposure to simulation, recorded-data replay, software-in-the-loop, or hardware-in-the-loop testing
  • Familiarity with construction equipment, compactors, heavy machinery, or off-road vehicles
  • Interest in terrain analysis, soil compaction, construction automation, or autonomous heavy equipment
  • Experience testing software or robotic systems in outdoor or field environments

BENEFITS

ASI offers a comprehensive benefits package, including:

  • 401k with employer match
  • Generous HSA contribution
  • PTO, paid holidays, and flextime
  • ASI covers 90% of employee medical plan costs

At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding nondiscrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.

This is a full-time, project-based employment opportunity. Your employment with ASI will be "at will," meaning that either you or ASI may terminate your employment at any time for any lawful reason, with or without cause or advance notice.

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