1

Neural Engineering Jobs in Portland, OR (NOW HIRING)

Neural Engine hardware, DRAM subsystem, memory controller logic, Encode and Decode systems for ... SW programming skills with knowledge of data structures and algorithms * Experience with Python ...

AI Engineer

Portland, OR · On-site

$55K - $187K/yr

... learning and neural network methodologies to optimize AI model performance - Managing data ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

As part of our Silicon Engineering group, you will generate ideas and turn them into reality. You ... Your main responsibilities will be: -Modeling power dissipation at the SOC level, including Neural ...

As part of our Silicon Engineering group, you will generate ideas and turn them into reality. You ... Your main responsibilities will be: -Modeling power dissipation at the SOC level, including Neural ...

As part of our Silicon Engineering group, you will generate ideas and turn them into reality. You ... Your main responsibilities will be: -Modeling power dissipation at the SOC level, including Neural ...

This is a unique opportunity to work at the intersection of AI algorithms, lowlevel performance engineering, and cuttingedge Intel hardware, enabling stateoftheart neural network performance across ...

Senior Software Engineer (Gen AI)

Beaverton, OR · On-site

$127K - $168K/yr

... neural networks, and related frameworks. * Experience with cloud computing platforms (e.g. AWS, GCP), containerization technologies (e.g. Docker) and data engineering pipelines (e.g. ETL) * ...

... of IP: - Neural Engine hardware - DRAM subsystem, memory controller logic - Encode and Decode ... programming skills with knowledge of data structures and algorithms Experience with Python, Perl ...

... of IP: - Neural Engine hardware - DRAM subsystem, memory controller logic - Encode and Decode ... programming skills with knowledge of data structures and algorithms Experience with Python, Perl ...

... of IP: - Neural Engine hardware - DRAM subsystem, memory controller logic - Encode and Decode ... programming skills with knowledge of data structures and algorithms Experience with Python, Perl ...

Showing results 21-40

Neural Engineering information

See Portland, OR salary details

$11

$20

$31

How much do neural engineering jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for neural engineering in Portland, OR is $20.48, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.16 per hour, depending on experience, location, and employer.

What is neural engineering?

Neural engineering is a multidisciplinary field that combines engineering, neuroscience, and computational approaches to understand, repair, enhance, or interface with the nervous system. Neural engineers develop devices such as brain-computer interfaces, neural prosthetics, and neurostimulation systems to restore or improve neural function. This field plays an important role in advancing treatments for neurological disorders and in creating technologies that bridge the gap between machines and the human brain.

What are the key skills and qualifications needed to thrive as a neural engineer, and why are they important?

To thrive as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and signal processing, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as MATLAB or Python), neuroimaging tools, and hardware platforms used for neural interfacing is essential. Excellent problem-solving skills, collaboration, and clear communication set standout professionals apart in this multidisciplinary environment. These skills are crucial for developing innovative neural technologies and translating research into effective clinical or commercial solutions.

Is neural engineering a good career?

Neural engineering is a growing interdisciplinary field that combines neuroscience, engineering, and computer science to develop technologies like brain-computer interfaces and neural prosthetics. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The field is expected to expand as neurotechnology advances and healthcare needs increase.

What can you do with a neural engineering degree?

A neural engineering degree prepares individuals for careers in developing brain-computer interfaces, neuroprosthetics, and neural signal processing. Graduates often work in research, healthcare, or technology companies, utilizing skills in neuroscience, engineering, and programming to innovate medical devices and neural systems.

What are jobs in neural engineering?

Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.

What are some common interdisciplinary challenges faced by neural engineers when collaborating with clinicians and data scientists?

Neural engineers frequently work on teams that include clinicians, data scientists, and hardware specialists, which can present unique interdisciplinary challenges. Effective communication is essential, as team members often have different technical backgrounds and priorities—clinicians focus on patient outcomes, while data scientists emphasize analytical accuracy. Bridging the gap between clinical needs and technical feasibility requires adaptability, openness to feedback, and a willingness to learn new concepts. Building strong collaborative relationships and participating in regular cross-functional meetings can help ensure that project goals are clearly understood and met by all stakeholders.
What are the most commonly searched types of Neural Engineering jobs in Portland, OR? The most popular types of Neural Engineering jobs in Portland, OR are:
What are popular job titles related to Neural Engineering jobs in Portland, OR? For Neural Engineering jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Neural Engineering jobs in Portland, OR look for? The top searched job categories for Neural Engineering jobs in Portland, OR are:
Infographic showing various Neural Engineering job openings in Portland, OR as of August 2026, with employment types broken down into 5% Internship, 79% Full Time, and 16% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $42,605 per year, or $20.5 per hour.

Design Verification Engineer

Apple Inc.

Beaverton, OR • On-site

$110 - $170/hr

Other

Re-posted 15 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Does making the next great technology product excite you? Imagine what you could do here. At Apple, our new ideas have a way of becoming great products, services, and customer experiences very quickly. We bring passion and dedication to our job and when you are a part of that team there's no telling what you could accomplish. Design Verification Engineers at Apple are responsible for verifying the functionality and performance of Apple’s premier SOCs. This is a critical job within Apple's Hardware Technology and we'd love to have you join us.

Description

As part of a very dedicated team you will be at the heart of the chip design effort collaborating with all subject areas (vertical product model). You own ensuring the quality of the SOC or an IP or subsystem. This requires you to review design and architecture specifications and work closely with design & micro-architecture teams. A key component to the job is understanding the functional & performance goals of the design and you use this knowledge to test optimally. You develop test plans, tests & coverage plans as well as define our next generation verification methodology & testbenches. You will actively communicate and collaborate with design, architecture and software to understand the use cases and corner conditions and drive test cases. The SOC contains many subsystems and IP, so you may be working on one or several of the following types of IP: Neural Engine hardware, DRAM subsystem, memory controller logic, Encode and Decode systems for ProRes and other codec formats such as VP9, AV1, Hardware security, including cryptographic algorithm implementations, High-Speed IO standards such as PCI Express, DisplayPort, MIPI, Power management and fabric infrastructure, Memory cache management, Display Subsystem for variety of panels and products. These are just some examples of the exciting designs that are part of our team. Joining SOC DV allows you to focus deeply on one main IP or expand your breadth as you work on a collection of subsystems. It’s up to you!

Minimum Qualifications
  • Minimum of BS + 3 years relevant industry experience.
Preferred Qualifications
  • Methodology & philosophy
  • Knowledge of SystemVerilog, digital simulation and debug
  • Knowledge of computer architecture and digital design fundamentals
  • SW programming skills with knowledge of data structures and algorithms
  • Experience with Python, Perl, or similar scripting language
  • Ability to work independently to deliver the project goals
  • Knowledge of verification methodologies like UVM
  • Experience with C/C++, assembly is a plus
  • Excellent interpersonal skills and the dream to tackle diverse challenges

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

#J-18808-Ljbffr

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976