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Computational Neuroscience Software Engineer Jobs in Portland, OR

Senior Computational Engineer

Portland, OR · On-site

$110K - $152K/yr

About the Job As a Senior Computational Engineer, you will lead and improve the use of high ... Use modern software and AI-assisted engineering tools to accelerate coding, analysis, documentation ...

Senior Computational Engineer

Portland, OR · On-site

$110K - $152K/yr

About the Job As a Senior Computational Engineer, you will lead and improve the use of high ... Use modern software and AI-assisted engineering tools to accelerate coding, analysis, documentation ...

Senior Computational Engineer

Portland, OR · On-site

$110K - $152K/yr

About the Job As a Senior Computational Engineer, you will lead and improve the use of high ... Use modern software and AI-assisted engineering tools to accelerate coding, analysis, documentation ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

... and engineers. WHO WE ARE LOOKING FOR We are looking for a creative, hands-on computational ... Highly skilled in 2D design and 3D modeling software (Rhino/Grasshopper, Houdini, Maya, Blender ...

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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 Aug 22, 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 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $113,563 per year, or $54.6 per hour.

Systems Software Engineer - New College Grad 2026

Nvidia Corporation

Hillsboro, OR • On-site

$188K - $223K/yr

Full-time

Re-posted 10 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies


Job description

Today, NVIDIA is 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. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
The Advanced Technology Group is looking for a highly motivated Systems Software Engineer - New College Grad to join our group. Do you have a proven software development background in advanced computational methods for advanced semiconductor manufacturing and design? Are you seen as a technical leader and an industry expert in several of the underlying fields, such as massively distributed computing, computational geometry, diffractive optics, and artificial intelligence? If yes, then we'd love to hear from you! The job requires creating strategy, driving industry-leading innovation, and working in lean teams to realize these strategies, from invention to production.
This role will be located in Hillsboro, Oregon.
What you'll be doing:
  • Working with some of the best technologists in the world to build industry-leading advanced computational methods for advanced semiconductor manufacturing and design.
  • Exploiting the potential of the GPU to dramatically accelerate these software solutions.
  • Ultimately, keeping the cadence of semiconductor innovation alive by accelerating semiconductor yield and time to market.

What we need to see:
  • Pursuing or recently completed a MS or PhD in Computer Science or Computer Engineering (or equivalent experience).
  • Experience in developing and delivering complex software solutions for enabling or improving semiconductor fabrication and design.
  • Research and/or industry experience working on advanced computational and AI systems
  • Exposure to ML/AI techniques and deep learning fundamentals, including various network architectures and advanced concepts like model optimization, backpropagation, and mitigating challenges like vanishing gradients and model overfitting.
  • Demonstrated ability in low-level performance optimization, including algorithm development, memory management, cache compression, and work-load balancing for scalable, distributed systems.
  • Ability to quickly ramp up on parallel programming models like CUDA, to accelerate computational methods.
  • Ability to solve complex algorithmic challenges and technical questions with minimal guidance, reflecting a strong foundation in algorithms, data structures, and computational theory

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 7, 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.

What Nvidia employees say

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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