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Embedded Machine Learning Internship Jobs in Portland, OR

Nvidia

Senior Verification Engineer, SoC

Hillsboro, OR · Hybrid

NVIDIA operates as a "learning machine," constantly adapting to new opportunities that only we can ... Experience with verification of SoCs with embedded processors or CPU verification. #LI-Hybrid Your ...

Intel

CPU Formal Verification Engineer

Hillsboro, OR · On-site

$148K/yr

... to AI and machine learning systems. In this role, you will directly impact Intel's ability to ... and or internship experiences. Minimum Qualifications: You must possess a B.S. in Computer ...

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All JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Portland, OR

Embedded Machine Learning Internship information

See Portland, OR salary details

$27K

$45.2K

$93.3K

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

As of Jun 28, 2026, the average yearly pay for embedded machine learning internship in Portland, OR is $45,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $48,800.00 per year, depending on experience, location, and employer.

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
Senior Verification Engineer, SoC

Senior Verification Engineer, SoC

Nvidia

Hillsboro, OR • Hybrid

Full-time

Posted 17 days ago

Job description

NVIDIA is seeking an exceptional Senior SoC ASIC Verification Engineer to confirm the functionality of the world's most powerful AI-enabled SoCs. These SoCs power self-driving cars, gaming consoles, and automated machines. NVIDIA operates as a "learning machine," constantly adapting to new opportunities that only we can pursue and that matter globally. Our worldwide team of talented people aims to push the boundaries of today's technology and define tomorrow's computing platform.

What you'll be doing:

  • Work with some of the best engineers to define verification strategies and complete plans at the full chip level.

  • Build and continuously reform verification infrastructure and methodologies to meet the demands of next-generation SoCs.

  • Collaborate with architects, RTL designers, FPGA, and emulation engineers to ensure verification requirements are met for each project.

What we need to see:

  • Bachelor's Degree in EE, CS, CE, or equivalent experience.

  • 5+ years of relevant experience in ASIC DV.

  • Outstanding analytical and problem-solving skills.

  • Experience in crafting testbenches and methodologies for large and complex chips.

  • Deep understanding of verification concepts.

  • Proficiency with at least one of these: C++, Object-Oriented Programming, UVM, System Verilog.

  • Familiarity with verification challenges in large-scale builds.

  • Solid understanding of basic concepts of CPU or SoC architecture.

  • Experience with verification of SoCs with embedded processors or CPU verification.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 28, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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