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Embedded Machine Learning Internship Jobs in Louisiana

TRUCE Software

Embedded Firmware Engineer

Baton Rouge, LA · On-site

$98K - $135K/yr

You will work across embedded firmware, wireless communication (Wi-Fi and Bluetooth), camera systems, and on-device machine learning while owning firmware quality, validation strategy, and long-term ...

TRUCE Software

Embedded Firmware Engineer

Baton Rouge, LA

$80K - $110K/yr

You will work across embedded firmware, wireless communication (Wi-Fi and Bluetooth), camera systems, and on-device machine learning while owning firmware quality, validation strategy, and long-term ...

CGI Inc.

Senior Full Stack Developer

Lafayette, LA · On-site

... embedded member of Agile development teams, supporting sprint ceremonies and coordination ... AWS Machine Learning * AWS Machine Learning * Cloud architecture * Docker * GitLab What you can ...

AEG

SponsorUniversity Regional Scout

Baton Rouge, LA · On-site

$1.2K - $1.6K/wk

Internship Overview This program offers a hands-on, boots-on-the-ground learning experience in the sports sponsorship industry. Participants will be embedded directly into live sporting and ...

AEG

SponsorUniversity Regional Scout

Monroe, LA · On-site

$1.2K - $1.6K/wk

Internship Overview This program offers a hands-on, boots-on-the-ground learning experience in the sports sponsorship industry. Participants will be embedded directly into live sporting and ...

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Embedded Machine Learning Internship information

What is an Embedded Machine Learning Internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an Embedded Machine Learning Internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

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

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.
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Embedded Machine Learning Internship jobs near you
Infographic showing various Embedded Machine Learning Internship job openings in Louisiana as of June 2026, with employment types broken down into 1% Internship, 40% Full Time, 56% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution.
Embedded Firmware Engineer

Embedded Firmware Engineer

TRUCE Software

Baton Rouge, LA • On-site

$98K - $135K/yr

Full-time

Posted 4 days ago

Job description

About TRUCE Software
TRUCE Software is the leading provider of workplace and fleet safety solutions. Our software automatically manages mobile device usage, helping organizations reduce distractions, improve compliance, and create safer workplaces.
About the Role
We are expanding our Baton Rouge engineering team to support development of next-generation TRUCE products, including a custom dash camera platform. This role is ideal for an embedded engineer who enjoys working close to hardware and defining systems from the ground up. Because this position involves hands-on board bring-up, hardware debugging, and lab-based validation, regular in-office collaboration is expected. Remote flexibility is available when lab presence is not required.
You will work across embedded firmware, wireless communication (Wi-Fi and Bluetooth), camera systems, and on-device machine learning while owning firmware quality, validation strategy, and long-term reliability.
What You'll Work On
  • Design and implement embedded firmware for custom dash camera platforms
  • Develop multimedia pipelines including RTSP streaming and SD card storage
  • Integrate and configure camera sensors for capture and tuning
  • Develop and maintain wireless communication (Wi-Fi, Wi-Fi Aware/NAN, Bluetooth)
  • Enable execution of pretrained ML inference models on embedded hardware
  • Optimize firmware for performance, memory, power, and long-duration stability
  • Bring up and debug new hardware in collaboration with the electrical engineering team
  • Contribute to firmware architecture and long-term platform strategy

Validation & Testing Ownership
  • Develop structured test plans and detailed test cases
  • Execute system-level validation across video, storage, wireless, and ML subsystems
  • Build automated regression and test tooling (Python or similar)
  • Develop hardware-in-the-loop (HIL) or bench-level test environments
  • Support manufacturing test and production firmware validation
  • Investigate field failures and implement corrective actions

Why This Role
  • Own firmware for a new hardware platform from early development through production
  • Direct access to hardware labs for rapid iteration
  • Work on a product combining embedded systems, video, wireless, and ML
  • Influence architecture and validation strategy early
  • Small, high-impact engineering team
  • Real-world safety product with measurable impact

Requirements
Required Qualifications
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
  • Professional experience developing embedded firmware in C/C++
  • Experience with real-time or resource-constrained systems
  • Experience interfacing with hardware peripherals (SPI, I2C, UART, etc.)
  • Strong debugging skills at the firmware / hardware boundary
  • Experience developing structured test plans and system-level validation
  • Ability to work onsite in Baton Rouge on a regular basis

Preferred Experience
  • Wi-Fi and/or Bluetooth experience in embedded systems
  • RTSP, video streaming, or multimedia pipeline experience
  • Camera module or image sensor integration
  • SD card interfaces and embedded file systems
  • Machine-learning inference deployment on embedded devices
  • RTOS or bare-metal systems
  • Python for tooling, automation, or testing
  • Experience supporting product validation or manufacturing test

*Must be available for in-person interviews.

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