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Neural Engineering Jobs in Oregon (NOW HIRING)

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

Apple

Design Verification Engineer

Beaverton, OR · On-site

$141K - $172K/yr

... 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 ...

Apple

Design Verification Engineer

Beaverton, OR

$141K - $172K/yr

... 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 ...

Apple

Design Verification Engineer

Beaverton, OR

$141K - $172K/yr

... 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 ...

Apple

Design Verification Engineer

Beaverton, OR · On-site

$141K - $172K/yr

... 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 ...

Apple

Design Verification Engineer

Beaverton, OR · On-site

$141K - $172K/yr

... 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 ...

Apple Inc.

Design Verification Engineer

Beaverton, OR · On-site

$110 - $170/hr

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 ...

Pwc

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 ...

Apple

SoC Power Spec Engineer

Beaverton, OR

$150K - $277K/yr

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 ...

Apple

SoC Power Spec Engineer

Beaverton, OR

$150K - $277K/yr

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 ...

Apple

SoC Power Spec Engineer

Beaverton, OR

$150K - $277K/yr

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 ...

Intel

Senior AI Algorithm Engineer in oneDNN

Hillsboro, OR · On-site +1

$195K - $275K/yr

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 ...

Workday

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) * ...

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Neural Engineering information

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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.

Staff AI Engineer, Perception

Agility Robotics

Salem, OR • On-site, Remote

$207K - $323K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago

Job description

Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers-tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.
Agility Robotics is deploying humanoid robots that are solving real-world challenges in logistics and manufacturing. Perceiving and understanding the world is critical to Digit's success in these applications. The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms.
Responsibilities:
  • As a technical lead, you will own the architecture and technical roadmap for object perception systems used by the robot in production
  • Design, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and 6-DoF object pose estimation
  • Evaluate and drive adoption of state-of-the-art perception models
  • Promote best practices in architecture, design, and testing to deliver high-quality, scalable software
  • Optimize deep neural networks and associated data processing to run efficiently on embedded systems
  • Collaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirements

Requirements:
  • 5+ years of experience deploying machine learning-based object detection algorithms on mobile robots with at least 2 years of experience in a technical leadership role
  • Master's or Ph.D. in Artificial Intelligence, Robotics, Computer Science, or a related discipline, with a strong foundation in machine learning, robotics, and intelligent systems
  • Proficiency in related technical areas such as (but not limited to) deep convolutional neural networks, multi-object tracking, data association, supervised learning and pose estimation
  • Strong mathematical fundamentals in linear algebra and numerical optimization and familiarity with core geometric concepts in computer vision
  • Familiarity with common computer vision and machine learning libraries such as (but not limited to) PyTorch, OpenCV, NumPy, etc.
  • Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures
  • Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment
  • Publications in your field (CVPR, ICCV, RSS, ICRA preferred)

Bonus Qualifications:
  • Experience using YOLO, Faster/Mask R-CNN
  • Experience developing ML models for 3 or 6 dof pose estimation

This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices.
The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.
Anticipated Salary Range
$207,000-$323,000 USD
In addition to base pay, our competitive total rewards package consists of the following for full-time employees:
  • 401(k) Plan: Includes a 6% company match.
  • Equity: Company stock options.
  • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees.
  • Benefit Start Date: Eligible for benefits on your first day of employment.
  • Well-Being Support: Employee Assistance Program (EAP).
  • Time Off:
    • Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown.
    • Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually.
  • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations.
  • Parental Leave: Generous paid parental leave programs.
  • Work Environment: A culture that supports flexible work arrangements.
  • Growth Opportunities: Professional development and tuition reimbursement programs.
  • Relocation Assistance: Provided for eligible roles.
  • Annual Discretionary Bonus: Provided for eligible roles.

All of our roles are U.S.-based. Applicants must have current authorization to work in the United States.
Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment.
Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly.

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