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Computational Neuroscience Software Engineer Jobs in Portland, OR

Ability to explain computational thinking, abstraction, iteration, recursion, and software development life cycle while preparing students for computer science coursework and software engineering ...

Build, mentor, and guide multidisciplinary engineering teams across mechanical, electrical, software, and computational domains while fostering technical excellence and collaborative problem solving.

Build, mentor, and guide multidisciplinary engineering teams across mechanical, electrical, software, and computational domains while fostering technical excellence and collaborative problem solving.

Postdoctoral Scholar

Portland, OR · On-site

$70 - $100/hr

Department Overview This position is focused on research-based computational and data-driven ... Python, R, MATLAB, and C++ programming. Webserver and database development. * Ability to ...

... Software Engineers, Structural Biologists, and Screening Scientists to build delivery platforms ... Deep knowledge of bioinformatics, computational protein design, computational genomics, immunology ...

Collaborate with crossfunctional teams including Systems, Process, Electrical, Controls, Software ... computational modeling, mainly for structural mechanics and fluid dynamics Our commitment We ...

... large-scale software development 1+ year experience in Hadoop Strong Java programming, shell ... Experience with performance/scalability tuning, algorithms and computational complexity Experience ...

Showing results 41-60

Computational Neuroscience Software Engineer information

See Portland, OR salary details

$40.4K

$113.6K

$183.3K

How much do computational neuroscience software engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for computational neuroscience software engineer in Portland, OR is $113,563.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,391.00 and $139,320.00 per year, depending on experience, location, and employer.

What is a computational neuroscience software engineer?

A Computational Neuroscience Software Engineer develops software tools, simulations, and models to analyze and interpret neural data. They work at the intersection of neuroscience, machine learning, and software engineering to advance our understanding of brain function. Responsibilities may include designing algorithms, optimizing data processing pipelines, and building neural network simulations. These engineers often collaborate with neuroscientists to translate biological insights into computational models. Strong programming skills, knowledge of neuroscience principles, and experience with scientific computing frameworks are typically required.

What are the typical daily responsibilities of a computational neuroscience software engineer?

A Computational Neuroscience Software Engineer typically spends their day developing and optimizing software tools for simulating neural circuits, analyzing large datasets, and collaborating closely with neuroscientists to support their research objectives. Regular tasks may include writing and testing code for neural models, troubleshooting computational issues, and maintaining or improving existing software pipelines. You’ll also participate in coding reviews, team meetings, and interdisciplinary discussions to ensure alignment between software capabilities and scientific goals. The role often involves both independent work and close collaboration with researchers, data scientists, and other engineers, creating a dynamic and intellectually stimulating environment.

What are the key skills and qualifications needed to thrive as a computational neuroscience software engineer?

To thrive as a Computational Neuroscience Software Engineer, you need a solid background in computer science, neural modeling, and applied mathematics, typically supported by a degree in a related field. Experience with programming languages such as Python, MATLAB, or C++, and familiarity with simulation frameworks or neuroinformatics platforms are highly desirable. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities help set you apart in this position. These skills enable you to efficiently develop, analyze, and refine computational models that advance neuroscience research and applications.

What are the most commonly searched types of Computational Neuroscience Software Engineer jobs in Portland, OR?

The most popular types of Computational Neuroscience Software Engineer jobs in Portland, OR are:

What are popular job titles related to Computational Neuroscience Software Engineer jobs in Portland, OR?

For Computational Neuroscience Software Engineer jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Computational Neuroscience Software Engineer jobs in Portland, OR look for?

The top searched job categories for Computational Neuroscience Software Engineer jobs in Portland, OR are:

Infographic showing various Computational Neuroscience Software Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $113,563 per year, or $54.6 per hour.

Modeling Engineer 5 (Thermal, CFD, AI/ML)

Lam Research Salzburg GmbH

Tualatin, OR • On-site

$120 - $170/hr

Other

Posted 17 days ago


Job description

In your career, let’s prove what’s possible.

At Lam Research, we create equipmentthat drives technological advancements in the semiconductor industry. Our innovative solutions enable chipmakers to power progress in nearly all aspects of modern life, and it takes each member of our team to make it possible.

Across our organization, our employees come to work and change the world. We take on the toughest challenges with precision and accuracy. We push for the next big semiconductor breakthrough. We lead the way in one of the most critical and fast-moving industries on the planet. And we do it together, with deep connections and limitless collaboration.

The impact we have on the world is made possible by focusing on our people. So we recognize and celebrate our teams’ achievements. We strive to create an inclusive and diverse culture where everyone’s contribution and voice has value. We evaluate and evolve our offerings, so our people receive the support and empowerment to do meaningful things for their lives, careers, and communities.

Because at Lam, we believe that when people are the priority and they’re inspired to unleash the power of innovation for a better world together, anything is possible.

Modeling Engineer 5 (Thermal, CFD, AI/ML)

Date: Jul 18, 2026

Location: Tualatin, OR

The group you’ll be a part of

In the Global Products Group, we are dedicated to excellence in the design and engineering ofLam's etch and deposition products. We drive innovation to ensure our cutting-edge solutionsare helping to solve the biggest challenges in the semiconductor industry.

The impact you’ll make

We move atoms that move the world.

At Lam Research, we create equipment that allows chipmakers to build device features more than 1,000 times smaller than a grain of sand. This tiny scale has a huge impact. Virtually every leading-edge chip inside the electronic products you use every day (TVs, smartphones, laptops, cars—even medical devices) has been made using our equipment.

As one of the world’s most trusted suppliers in the semiconductor equipment industry, we’re transforming technology. Our equipment places atoms so precisely that nearly every chip today is made using our innovations.

To build a prosperous career, start with an atom.

Should you choose to walk the path historically driven by Moore’s law, your primary job function will involvecutting edge R&D activities in the Semiconductor Equipment Industry. If solving challenges no one has faced before or attempted are of interest to you, then Lam Research is the company for you.

What you’ll do
  • Developing physics-based models for Thermal/CFD/Chemistry applications for components in semiconductor capital equipment industry. Experience in commercial software like ANSYS Fluent, Star CCM+, or COMSOL, etc., is highly desirable.
  • Strong ability in closed-form solutions and analytical methods development and understanding fundamentals in fluid mechanics.
  • Utilizing DOE, Optimization, and statistical methods and data driven modeling to correlate Simulation data to experimental data.
  • Predict, measure, and analyze the experimental data for uncertainty Quantification & propagation, sensitivity analysis, statistical inference for model calibration, decision making under uncertainty.
  • Multi-scale modeling from nano, meso to macro levels
  • Provide design improvements of in-service tools based upon quantitative field measured failure data and less quantitative quality metrics as measured by Lam Research.
  • Provide written reports and oral presentation of results to design teams and management.
  • Work directly with mechanical, electrical, process and software engineers to define design requirements, goals and objectives of design, CIP, testing and simulation plans.
  • Strong written and oral communication. Self-starter to start own initiatives and projects for continuous improvement in capabilities and design.
  • Put your running shoes on: In this job you’ll work in a highly dynamic and rapidly changing environment within a team of interdisciplinary experts driving to solutions to the most challenging business needs.
Who we’re looking for
  • PhD in Mechanical Engineering or closely related field with strong emphasis in Computational Fluid Dynamics, Heat transfer, Chemistry, or related fields with >6 years of experience in a related industry, e.g., semiconductor, gas turbine, aerospace, automotive, etc.
  • Ability to work with a team to drive product development and design decisions. Propose design concepts and own decisions.
  • Strong ability and understanding of AI/ML concepts and hybrid physics-based AI/ML modeling software. Building and maintaining codes of AI/ML models with either simulation or test data. Experience with machine learning algorithms and tools (e.g., TensorFlow, PyTorch, Scikit Learn etc.) and deep learning.
  • Coding ability to supplement commercial software for specific applications as needs arise.
  • Knowledge of chemistry, semiconductor metrology methods, and hardware designs in a vacuum environment is also a plus.
  • General understanding of uncertainty quantification, Bayesian optimization and probabilistic machine learning is required.
Preferred qualifications
  • Ability to effectively communicate and build relationships to interact, inform, influence, and communicate with key stakeholders at all levels across the company.
  • Strong critical thinking skills demonstratedthrough problem-solving, attention to detail and innovation.
  • Strong analytical skillsdemonstrated through First Principles Thinking, statistical Analysis and Physics-based Insights
Our commitment

We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.

Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.

Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories – On-site Flex and Virtual Flex. ‘On-site Flex’ you’ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. ‘Virtual Flex’ you’ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

IND123 #LI-NB1 #LI-Onsite

Our Perks and Benefits

At Lam, our people make amazing things possible. That’s why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

Job Segment: Thermal Engineering, Testing, Aerospace Engineering, Mechanical Engineer, Product Development, Engineering, Technology, Research

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