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Neural Engineering Jobs in Oregon (NOW HIRING)

Nvidia

OR

Neural reconstruction and Gaussian Splatting are changing how 3D worlds are collected, represented ... Engineering, Applied Math, Robotics, Computer Vision, Machine Learning, or a related field (or ...

Waabi

Research Scientist, Neural Reconstruction

OR · On-site +1

$155K - $269K/yr

You have expert-level Python & PyTorch (or JAX) skills; strong software-engineering fundamentals ... neural rendering * 3D / 4D reconstruction * Generalizable reconstruction * Geometry-aware or multi ...

Deegit Inc

DSP Algorithms Engineer

Hillsboro, OR · On-site

$155K - $181K/yr

Proficient in DSP theory, scientific programming, adaptive filtering, machine learning, GMM, clustering and neural networks. Strong commitment to quality using algorithm performance evaluation ...

Apple

SoC Power Spec Engineer

Beaverton, OR · On-site

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 ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

... Neural Nets, and Pattern Recognition from data exploration * Five (5) years of experience in Data Science / Machine Learning * Strong programming skills in Python * Proven experience with: * Time ...

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How much do neural engineering jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for neural engineering in Oregon is $20.42, according to ZipRecruiter salary data. Most workers in this role earn between $17.02 and $22.12 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.
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What cities in Oregon are hiring for Neural Engineering jobs? Cities in Oregon with the most Neural Engineering job openings:
Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in Oregon as of August 2026, with employment types broken down into 6% Internship, 76% Full Time, and 18% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $42,476 per year, or $20.4 per hour.

Senior Neural Network Kernel Software Development Engineer

Targeted Talent

Portland, OR • On-site

$110K - $140K/yr

Full-time

Medical

Re-posted 12 days ago

Job description

Senior Neural Network Kernel Software Development Engineer


Our client is making substantial investments in software to enhance the seamless deployment of neural networks on their hardware, streamlining the experience for researchers and developers. The focus involves the optimization of various common neural networks for optimal performance on architectures, facilitated by the software optimization tool flow.

We are seeking software developers who are driven and naturally curious. The chosen candidate will contribute within agile teams, working closely with senior software engineers for mentorship. This role presents an opportunity to tackle novel challenges using cutting-edge technologies, as they build innovative systems from scratch.

As a key team member, you will specialize in constructing efficient implementations of practical neural net kernels tailored to their distinctive hardware architecture. Additionally, you will implement diverse computing algorithms, maximizing computation and communication throughput. This role involves developing a profound understanding of the architecture's intricacies, working collaboratively with the architects and compiler engineers.

Responsibilities:

  • Experience writing kernels to accelerate Neural Network execution on custom hardware accelerators (not on CPU's)
  • Design, prototype, and execute low-level, adaptable C++ programs (kernels) for various neural net operations.
  • Define, document, and communicate configuration APIs for these kernels to the compiler team.
  • Share performance optimization concepts with both compiler engineers and architects working on future product generations.
  • Develop comprehensive computation strategies spanning kernels for multichannel and multi-chip neural net implementations.

Requirements:

  • Degree in Computer Science, Engineering, Math, Physics, or related field (preferably MS or PhD).
  • Profound knowledge of modern C++, with a focus on code generation and low-level compute optimizations.
  • Familiarity with fundamental Neural Network operator algorithms - Convolutions, Transformers, RNNs.
  • Demonstrated capability to independently navigate challenging, well-defined problems.
  • Aptitude and interest in both high-level conceptual understanding and intricate technical details.
  • Enthusiasm for problem-solving within highly structured and restricted environments.

Preferred Skills and Experience:

  • Proficiency in Python.
  • Experience with other AI accelerator programming.
  • Strong mathematical aptitude.
  • Enjoyment of solving complex problems.

Our client offers:

  • Comprehensive health and extended health benefits.
  • Competitive Salary
  • Unlimited sick leave.
  • Stock options.
  • Contribution to revolutionizing chip and software technologies with global impact.
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About Targeted Talent

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Your single source for HR professional services, we offer job seekers specialized employment services, spanning contract, permanent positions, and project solutions for highly specialized and managerial level talent needs. Our team of specialized recruiters and consultants abilities extend far beyond resume or career counseling. With hundreds of collaborators strategically located throughout the country, our organization possess the local market knowledge and industry relationships that make successful geography-specific reach possible.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA

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