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Embedded Machine Learning Internship Jobs in Oregon

Dtna

Embedded Engineer I

Portland, OR · Hybrid

$71K - $91K/yr

Academic or internship experience with thermal systems, thermal controls, or energy management ... strong interest in learning them. #LI-RR1 #LI-Hybrid Where We Work This position is open to ...

Agility Robotics

Staff AI Engineer, Perception

Salem, OR · On-site +1

$207K - $323K/yr

The Perception team is looking for a staff machine learning engineer to own the design and ... Optimize deep neural networks and associated data processing to run efficiently on embedded systems

Cotiviti

$32 - $40/hr

Overview This internship centers on researching and developing advanced healthcare informatics ... Hands-on experience with working with Machine Learning and Deep Learning models. Experience with ...

Apple

SerDes Micro Architect

Beaverton, OR

... Machine Learning concepts Experience in firmware or embedded software development is a plus Minimum Qualifications BS degree in technical discipline with minimum 10 years of relevant experience.

Pacvue

OR

Serve as a senior customer-facing voice for Pacvue on AI, machine learning, Pacvue Agent, agentic ... Ensure AI is embedded into core product workflows rather than treated as a standalone feature or ...

Liberty Information Technology Limited

Collaborate with other data scientists, machine learning engineers, data engineers, and business ... inclusion embedded in every aspect of our culture and reflected in everyday interactions. This ...

Cotiviti

$32 - $40/hr

We are currently looking for interns who can start in the Summer or Fall of 2026. Responsibilities ... Hands-on experience with working with Machine Learning and Deep Learning models. Experience with ...

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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.
What are the most commonly searched types of Embedded Machine Learning jobs in Oregon? The most popular types of Embedded Machine Learning jobs in Oregon are:
What are popular job titles related to Embedded Machine Learning Internship jobs in Oregon? For Embedded Machine Learning Internship jobs in Oregon, the most frequently searched job titles are:
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Embedded Machine Learning Internship jobs near you

Embedded SW Engineer - Portland, OR

Ztek Consulting INC

Portland, OR • On-site

$139K - $183K/yr

Contractor

Posted 12 days ago

Job description

Job Title: Embedded SW Engineer
Location: Portland, OR
Position Type: Contract
Duration: 6 / 12 Month
Work Type: Onsite 
Rate: Pay range offered to a successful candidate will be based on several factors, including the candidate's education, work experience, work location, specific job duties, certifications, etc.
 
Job Description:
-Supporting new product development of high-performance, high-capacity storage AI module for use on aircraft.
- The Engineer will contribute to platform by working at the lowest layers of the infrastructure stack
- firmware, BIOS/UEFI, bootloaders, and board support packages (BSP).
This work provides the foundation for Linux-based operating systems and higher-level PaaS functionality to run reliably on heterogeneous hardware (x86, ARM, and specialized accelerators)._
Key Responsibilities
-Support porting/ configuration of GMSL3 drivers, utilities that depend on this protocol
Configuration of linux kernel modules
Familiarity with NVIDIA Jetson family based platforms will be added plus
Performing checks using an evaluation boardCustomize and maintain BIOS/UEFI to support platform requirements.
Provide minimal hardware initialization for Linux kernel boot.
BSP & Board Bring-Up
Develop and integrate Board Support Packages for x86 platforms.
Perform board bring-up, validation, and debugging on evaluation and target hardware.
Port and configure kernel/device-tree for new boards.
Platform Enablement
Support integration of Linux-based operating systems on bare metal.
Ensure compatibility across mixed architectures (ARM, AMD64, accelerators).
Build bring-up and diagnostic tools for testing firmware and hardware readiness.
Collaboration & Documentation
Work with hardware, PaaS, and DevOps teams to align low-level firmware with platform needs.
Document BIOS/bootloader changes, BSP configurations, and bring-up procedures.
Provide training, knowledge transfer, and support for internal teams.
Deliverables
BSPs for supported hardware platforms.
Firmware validation and bring-up test tools.
Documentation of initialization sequences, firmware setup, and deployment.
What are the Mandatory skills and skill proficiencies required for this position?
-Required Skills & Experience
3-Strong knowledge of Linux kernel boot flow and minimal hardware initialization.
5-Experience with BSP development for both x86 architectures.
4-Proficiency in C/C++, embedded systems debugging, and low-level programming.
5-Familiarity with hardware bring-up using JTAG, serial console, and oscilloscopes.
3-Experience with storage devices (eMMC, NVMe, SATA, SD) and root filesystem setup.
What are the Optional skills and skill proficiencies for this position?
Nice to Have
2-Experience with secure boot, TPM, and firmware security practices.
2-Familiarity with cloud/edge IaaS environments.
2-Knowledge of specialized accelerators, heterogeneous compute, or SoC platforms.
2-Exposure to continuous integration for firmware/embedded builds.
Key Responsibilities:
Support porting/ configuration of GMSL3 drivers, utilities that depend on this protocol
Configuration of linux kernel modules
Familiarity with NVIDIA Jetson family based platforms will be added plus
What are the Mandatory skills and skill proficiencies required for this position?
Linux kernel module programing, Device driver porting and development, C
ABOUT Ztek:
Website: www.ztekinc.com
Ztek Consulting Inc is a minority- and woman-owned business enterprise that leverages a unique blend of human talent, machine learning algorithms, and artificial intelligence to provide customized talent management solutions for clients. Ztek’s diversity-focused hiring models have proven successful, particularly in hiring veterans. The company's veteran-focused hiring and deployment program, Z-V.E.T, matches skilled veterans with clients' needs in various areas.
Disclaimer:
Ztek is an Equal Opportunity Employer and prohibits any kind of unlawful discrimination and harassment. Ztek is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment on the basis of race, color, religion or belief, national origin, citizenship, social or ethnic origin, sex, age, physical or mental disability, veteran status, marital status, domestic partner status, sexual orientation, or any other status protected by the statutes, rules, and regulations in the locations where it operates. If you are an individual with a disability and need a reasonable accommodation to assist with your job search or application for employment, please contact us at hrd@ztekinc.com Please indicate the specifics of the assistance needed. Ztek encourages all interested and qualified candidates to apply for employment opportunities. Ztek does not discriminate against applicants based on citizenship status, immigration status, or national origin, in accordance with 8 U.S.C. 1324b.